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Designs and maintains Snowflake-based data pipelines and ETL workflows using SQL, Python, and orchestration tools like Airflow.
Designs and builds scalable AWS data pipelines, data lakes on S3 with Apache Iceberg, and Airflow workflows for CDC and batch ingestion from DynamoDB, Aurora PostgreSQL, and Neptune.
Designs and builds Snowflake-based ETL pipelines and data flows using SQL, Python, and orchestration tools like Airflow or dbt for analytics and reporting.
Builds and maintains data pipelines and ETL workflows in Python, running on Google Cloud, to process large datasets efficiently.
Build and maintain GCP-based data pipelines using Cloud Dataflow, Airflow, and BigQuery, ensuring data quality and availability for business analytics and reporting.
Build and scale high-throughput data pipelines and AI-driven marketing infrastructure for a global travel subscription platform, using Python, SQL, dbt, Dagster, and Google Cloud.
Build and maintain cloud-based ETL/ELT pipelines for data integration from IoT/ERP sources using Python, SQL, Snowflake, and Databricks.
Build and maintain scalable data pipelines and lakehouse infrastructure for a European restaurant-booking platform, using Snowflake/Databricks, Airflow, and AWS.
Build and maintain scalable data pipelines and warehouses using Python, SQL, dbt, and Airbyte to power analytics and ML systems for a media company.
Build and maintain scalable data pipelines and models for clients using cloud platforms like Snowflake and Azure, orchestrated with Apache Airflow.
Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing Kubernetes clusters with tools like Dremio, Spark, and Prometheus.
Build and scale Ramp’s growth platform backend, including data ingestion pipelines, AI-driven unstructured data processing, and internal experimentation tools to drive user acquisition and engagement.
Build and maintain Affirm’s scalable batch-infrastructure platform to run ML, financial, and product workloads reliably on AWS, Kubernetes, and workflow orchestrators like Airflow.
Build full-stack web apps in Next.js/Node.js, automate data pipelines with Airflow/dbt, and manage AWS-hosted Postgres systems for a Postgres-centric AI/data platform.
Build and own Duetto’s Python/PySpark data lakehouse that powers real-time hotel pricing decisions, migrating from batch to streaming pipelines on AWS while driving data quality and AI-assisted tooling.
Lead a team building and scaling data pipelines and analytics platforms using Python, Snowflake, and Airflow, while mentoring engineers and setting best practices.
Build and maintain cloud-based data pipelines for a sports-betting platform, using AWS services like S3, Glue, Lambda, Redshift, and Airflow to power real-time analytics and insights.
Design and build data governance frameworks and executive reporting solutions at Apple, ensuring data integrity, privacy, and security across the company using SQL, Spark, Python, and visualization tools.
Build and deploy AI-driven cybersecurity platforms, including agentic workflows and RAG systems, to automate threat detection and response using cloud-native tools and AI governance frameworks.
Builds and maintains scalable data pipelines and warehouse infrastructure in AWS/Azure to power reporting and analytics for a healthcare data collaboration platform using Python, SQL, dbt, and Airflow.
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