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Lead a team to build and scale ML-driven data pipelines, integrating predictive analytics using Python, Scala, Golang, Rust, Hadoop, Spark, and Kafka.
Lead a team building and maintaining secure, scalable data pipelines and analytics platforms for J.P. Morgan’s financial services, using relational and NoSQL databases.
Lead a data engineering team to build and deploy scalable data pipelines using Git, IaC, and cloud infrastructure, transforming JSON and other data formats for analytics.
Leads Azure-based data pipelines and BI projects using Azure Data Factory, Synapse, Spark, and Databricks, mentoring teams and driving innovation in data solutions.
Lead the design and scaling of a marketing analytics platform’s data pipeline using AWS S3, Athena, EKS, and Airflow for OLAP workloads and ETL processes.
Lead a team to architect and maintain a high-volume marketing analytics platform, designing S3-backed data lakes, ETL pipelines, and OLAP workloads using AWS tools like Athena and Airflow.
Lead a team to design and maintain scalable data pipelines and analytics architecture using AWS and Airflow for a marketing analytics platform.
Lead a team to design and maintain scalable data pipelines and analytics architecture for a high-volume marketing analytics platform using AWS, Airflow, and OLAP systems.
Lead a team to design and maintain OLAP pipelines on AWS, using Airflow for ETL orchestration and S3-backed data lakes for large-scale marketing analytics.
Lead a team to design and maintain S3-backed data pipelines and OLAP architecture for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Lead a team to build and maintain scalable data pipelines and analytics architecture for a marketing analytics platform using AWS, Python, and Airflow.
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.
Lead a small team to design Google Cloud infrastructure-as-code modules, implement data security controls, and build self-service tooling for data teams in a remote-first environment.
Lead the design and implementation of AWS-based data pipelines and cloud-native data products for AstraZeneca’s Spain team, mentoring engineers and ensuring scalable, secure data infrastructure.
Lead the technical vision for a demand-side platform (DSP) and data infrastructure, unifying bidding, prediction, and analytics teams to build data-driven ad-tech features.
Lead design and delivery of scalable data pipelines and streaming systems using Spark and Kafka, guiding teams and shaping architecture for high-performance distributed data solutions.
Lead a small team of data engineers to build and maintain robust data pipelines on Google Cloud BigQuery using SQL, Python, and dbt while mentoring engineers.
Lead a team to design, build, and maintain scalable data pipelines using Python, SQL, and cloud platforms to support data-driven decisions across product, marketing, and finance.
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