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Lead a team to build and maintain scalable data pipelines and analytics architecture for a marketing analytics platform using AWS, Python, and Airflow.
Owns and builds an S3-backed OLAP data lake and Airflow-driven ETL pipelines for a marketing analytics platform, choosing formats, schemas, and near-real-time processing.
Lead a team to design and maintain a high-volume marketing analytics data lake on AWS, defining ETL pipelines, Airflow orchestration, and S3 partitioning for near-real-time insights.
Lead a team to design and maintain high-volume marketing analytics pipelines using AWS S3, Athena, EKS, and Airflow for near-real-time processing.
Builds and maintains AWS data pipelines (Glue, Athena, Lambda) in Python, curates datasets for BI tools, and creates dashboards.
Build and maintain ETL pipelines in Python and SQL to move and transform data, working with AWS services like S3 and Athena.
Builds data pipelines and ETL workflows on AWS (S3, EMR, Glue, Athena) using Spark and Python to process batch and streaming data.
Builds and maintains AWS-based data pipelines using Glue, Spark, Lambda, and S3 to move and transform data for analytics and reporting.
Design and build scalable data pipelines and warehouses for a global client using Spark/Scala, Python, SQL, and AWS services like S3, Glue, and EMR.
Build and deploy AI/ML models end-to-end on AWS, packaging models as microservices and exposing them via secure APIs for production use.
Lead a team to build and maintain a high-volume marketing analytics platform’s data pipeline, designing S3-backed data lakes and near-real-time processing with AWS tools like Athena and EKS.
Lead a team building and optimizing large-scale marketing analytics pipelines on AWS, designing ETL workflows with Airflow and S3-backed data lakes for near-real-time processing.
Owns and scales the data pipeline for a marketing analytics platform, designing OLAP workloads on S3, managing ETL with Airflow, and leading a team of senior engineers on AWS.
Lead a team building and optimizing an S3-backed OLAP pipeline for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Lead a team to build and maintain ETL pipelines and analytics infrastructure for a marketing analytics platform using AWS, Airflow, and OLAP tools.
Lead the design and governance of ETL pipelines and data lake architecture for a large-scale marketing analytics platform using AWS S3, Athena, and EKS.
Build and maintain scalable data pipelines on Azure and AWS, integrating financial data sources with tools like Databricks, Glue, and Redshift to deliver clean, secure datasets for analytics and modeling.
Builds scalable, cloud-native Java backend services for a large data platform using AWS (S3, Redshift, Kinesis, etc.) to process batch and streaming data.
Build and maintain scalable data pipelines on AWS using PySpark, Python, and SQL to process big data and support analytics for clients.
Build and maintain scalable data pipelines and tools for a fintech AI platform, using Python, AWS services, and microservices to support analytics and LLM-driven workflows.
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