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Builds and maintains scalable ETL pipelines on Databricks and AWS to turn raw data into clean, analytics-ready datasets for reporting and business insights.
Build and improve AI developer tools using Python, RAG, and LangChain to enhance engineering velocity and integrate AI workflows.
Lead a team to design and build scalable data pipelines using Azure Databricks, ADF, and PySpark, while integrating with AWS, Snowflake, and BigQuery in hybrid/multi-cloud environments.
Builds and maintains data pipelines, ETL scripts, and APIs in Python and AWS to clean, process, and warehouse enterprise data for analytics and reporting.
Design and maintain scalable data pipelines and warehouses, ingesting data from multiple sources and ensuring quality for BI and analytics using Spark, Airflow, and dbt.
Lead the end-to-end data architecture—ingestion, processing, modeling, and consumption—using Python, PySpark, Airflow, and AWS services to enable reliable reporting and LLM-driven analytics at scale.
Senior Data Engineer builds and governs cloud-based data pipelines and models for edtech products, ensuring scalable, reliable data infrastructure.
Builds and maintains ELT/ETL pipelines to transform retail transactional data into governed datasets for analytics, reporting, and forecasting.
Designs and maintains scalable Azure data pipelines and architectures, collaborating with scientists and analysts to ensure quality, security, and compliance using Azure Data Factory and Databricks.
Builds and maintains enterprise data pipelines and analytics platforms using SQL, ETL/ELT, and cloud tools like Microsoft Fabric to support reporting and AI initiatives.
Build and maintain data pipelines for a retail company focused on health and wellness, processing large datasets to support business decisions using Python, SQL, and cloud platforms like AWS and Databricks.
Designs and maintains Microsoft Fabric data pipelines, OneLake environments, and analytics-ready data using Azure services, PySpark, and T-SQL.
Designs and builds enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads.
Builds and maintains data pipelines and analytics infrastructure for a semiconductor manufacturer, enabling reliable data access for BI and data science teams.
Designs, builds, and optimizes ETL pipelines using AWS Athena and SQL to validate data and support analytics across business domains.
Build and maintain scalable ETL pipelines and real-time data systems on AWS and Databricks for a regulated crypto exchange serving 18M+ users.
Design and build scalable data pipelines and Lakehouse infrastructure using Azure and Databricks, enabling AI/ML and analytics for financial, legal, and government clients.
Design and build real-time streaming pipelines and integrate generative AI with enterprise data platforms using GCP tools like BigQuery and Pub/Sub.
Design and build AI-powered data frameworks for a global real-estate firm, mentor junior engineers, and align solutions with business strategy.
Manages client relationships and delivery teams for an applications outsourcing provider, overseeing budgets, staffing, and service delivery to meet financial and client satisfaction targets.
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