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Build and scale data pipelines on Databricks using PySpark, SQL, and reusable ingestion engines while ensuring data quality in a collaborative, remote-friendly environment.
Design and build scalable Palantir Foundry data pipelines and ontologies, turning raw enterprise data into actionable insights for critical decision-making.
Design and build automated ETL pipelines for geospatial datasets like satellite imagery and GPS data, using PostGIS and GeoParquet to ensure data quality and support spatial modeling.
Builds cloud-based ETL/ELT pipelines and optimizes data models using Python, SQL, Snowflake, and BigQuery to support analytics.
Designs and builds ETL/ELT pipelines in Python and BigQuery to process and transform data for analytics and reporting.
Design and implement Microsoft Azure Data & AI solutions using Azure Databricks and PySpark for clients.
Lead the build-out of a Redshift-based analytics platform, migrating PostgreSQL workloads and optimizing performance for fast, auditable, and scalable reporting.
Design AI evaluation frameworks, improve LLM training data quality, and analyze failure trends for a global remote team.
Build and optimize scalable Snowflake-based data pipelines, own data models and governance, and integrate cloud-native apps while collaborating across North and Latin America teams.
Senior Data Engineer builds and scales BigQuery/dbt pipelines and BI dashboards to deliver analytics-ready datasets for reporting and insights.
Design and maintain large-scale data pipelines and Redshift infrastructure to integrate raw data sources with analytical systems, ensuring data quality and reliability for data-driven decisions.
Designs scalable Delta Lake data architectures with ACID transactions and time-travel queries, building ETL/ELT pipelines using Spark and Parquet storage.
Design and maintain SAP-native data pipelines for enterprise analytics, integrating ECC/S/4HANA with BW/4HANA, Datasphere, and HANA to build automated ETL/ELT workflows.
Build and run evaluation frameworks to test and improve AI model accuracy and safety using Python/SQL.
Build AI-powered agents and RAG applications using vector databases and orchestration frameworks to automate tasks and deliver data-driven insights for commodity markets.
Build and own AI-driven credit risk and growth models for a fintech company, influencing business decisions with production-ready machine learning solutions.
Designs and builds Azure-based data pipelines and analytics solutions using Python and SQL, mentors teammates, and collaborates on data-centric applications.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Builds and maintains data pipelines using PySpark, Kafka, and GCP services like BigQuery and Dataproc.
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