Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.
Professional Summary
Senior Data Engineer with 9 years of experience designing scalable ETL pipelines and real-time data architectures. Specializes in AWS, Spark, and microservices that support analytics and operational dashboards. Committed to improving data quality and reducing time-to-insight for cross-functional stakeholders.
Skills
- AWS
- SQL
- Python
- ETL
- Azure
- Spark
- Ci/Cd
- Agile
- Communication
- Power Bi
- Kafka
- Terraform
- Docker
- Data Warehousing
- Machine Learning
Experience
Senior Data Engineer — SAIVA AI
- Architected a real-time data platform serving 20+ microservices with sub-100ms latency using AWS Lambda, Kinesis, and DynamoDB.
- Reduced ETL job runtimes by 40% through Spark optimizations and partitioning strategies on S3-based data lakes.
- Implemented CI/CD pipelines for data workflows with GitHub Actions, increasing deployment frequency from monthly to bi-weekly.
- Collaborated with data science teams to productionise machine learning models with feature stores and automated retraining pipelines.
- Authored internal documentation and led lunch-and-learns to improve data literacy across product and marketing teams.
Data Analyst — Lateetud
- Developed a customer 360 analytics model that increased upsell conversion rates by 15% through better segmentation.
- Automated monthly reporting dashboards in Power BI, reducing manual preparation time from 3 days to 3 hours.
- Created ad-hoc query frameworks in SQL for sales enablement, cutting average analyst turnaround time from 5 days to 2.
- Partnered with engineering to instrument key product funnels, improving data quality and driving prioritisation of fixes.
- Delivered workshops on data storytelling best practices to improve executive consumption of analytics outputs.