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Design and build scalable data pipelines using Snowflake, Airflow, and Python, ensuring robust ETL/ELT workflows and DataOps best practices.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow/Prefect/Dagster.
Design and scale a modern data platform, building ETL/ELT pipelines with Snowflake and Airflow while ensuring data quality and reliability.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake data warehouses for reliability and accessibility.
Architect and build scalable data pipelines and Snowflake schemas using Python, Airflow/Prefer/Dagster, and CI/CD to power enterprise analytics in a modern data platform.
Designs and builds scalable cloud data pipelines using Azure, PySpark, and ETL tools to enable reliable data platforms and analytics for global teams.
Owns and scales a marketing analytics platform’s data pipeline, designing ETL workflows, Airflow orchestration, and OLAP optimizations on an S3 data lake.
Design and maintain AWS-based data pipelines for a U.S. healthcare client, ensuring HIPAA/HITRUST compliance while ingesting and transforming clinical data with tools like S3, Glue, Redshift, and Airflow.
Build and scale data pipelines, warehouses, and analytics for a global fintech/crypto platform using Python, Spark, Kafka, and cloud tools.
Build and maintain scalable ELT pipelines, optimize Snowflake data models, and orchestrate workflows in AWS to ensure reliable, high-performance data processing for analytics.
Lead a team to build data pipelines, warehouses, and analytics platforms in Snowflake/AWS using Python and Airflow, enabling workforce analytics and predictive models for a global job platform.
Build and maintain scalable data pipelines and cloud infrastructure using Python, Spark, and GCP/Azure to support analytics and reporting for enterprise clients.
Design and build scalable data pipelines and warehouses using Spark, Kafka, and Snowflake to power analytics and ML, enabling data-driven decisions in a remote-first team.
Build and maintain a data platform using SQL, dbt, Python, and Snowflake to power analytics and AI-ready data flows for cross-functional teams.
Lead a team building scalable data pipelines and cloud infrastructure using Python, Snowflake, dbt, and Airflow to deliver reliable analytics for enterprise clients.
Build and maintain data pipelines for Kpler’s new US Natural Gas product, using Python, FastAPI, and PostgreSQL to scrape, structure, and serve time-series energy data via RESTful APIs.
Build and maintain data pipelines using Databricks, SQL, Python, and Azure Cloud to modernize banking technology and ensure reliable data infrastructure.
Design and maintain cloud data platforms, building scalable pipelines with Python and BigQuery, and orchestrating workflows in Airflow.
Designs and maintains cloud-based data pipelines using Databricks, Python, and Airflow to ensure healthcare data is accurate and accessible for analytics and decision-making.
Lead a team to design and maintain scalable ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS, Airflow, and Python.
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