Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum
Professional Summary
Data Engineer with over 5 years of experience designing scalable ETL pipelines and analytics solutions on Azure and AWS. Specializes in streamlining data workflows using Spark, Kafka, and Python while maintaining rigorous DevOps standards. Recognized for reducing query latency and improving data reliability across cross-functional teams.
Skills
- Azure
- SQL
- AWS
- ETL
- Python
- Spark
- Ci/Cd
- Communication
- Power Bi
- Scala
- Agile
- Kafka
- Data Modelling
- Microservices
Experience
Data Engineer — Forage AI
- Architected a serverless data platform on Azure that ingests 1.5M daily events and reduced processing latency by 40%.
- Implemented CI/CD pipelines that accelerated analytics feature releases from quarterly to monthly while improving test coverage to 95%.
- Spearheaded migration of legacy ETL workloads to Azure Data Factory and Databricks, lowering compute costs by 30%.
- Designed APIs serving 100K+ monthly active users with real-time inventory and recommendation data.
- Mentored junior engineers on data engineering best practices and Azure service utilization.
ETL Developer — ValueMomentum