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Lead a data engineering team that builds and maintains big-data ingestion pipelines and cloud infrastructure for a data-focused company.
Senior Data Engineer designs and builds scalable Azure-based data pipelines and analytics platforms using Python, SQL, and Azure Databricks for client projects.
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
Leads architecture and engineering standards for Palantir Foundry-based data products, ensuring scalability and technical execution for enterprise analytics in a government-focused client.
Leads cybersecurity and data governance at a government polytechnic, overseeing threat modelling, compliance, incident response, and secure tech adoption across the organization.
Leads cybersecurity and data governance for a polytechnic, overseeing threat monitoring, risk management, and incident response to protect digital systems and sensitive data.
Lead the design and delivery of scalable data platforms for a bank in Singapore, enabling AI-driven analytics and regulatory reporting while ensuring compliant data practices.
Designs and maintains scalable data pipelines and quality frameworks for Bloomberg’s Commodities data platform, collaborating with product and engineering teams to improve reliability and governance.
Lead a small team to design, build, and scale cloud-based data pipelines and platforms using Python, SQL, and tools like Airflow, Spark, and Snowflake for reliable, ML-ready data.
Design and optimize Stockbit’s data platform in Jakarta, building scalable pipelines and warehouses to unlock insights from financial data for data-driven decisions.
Lead the design and maintenance of Toyota’s data platform using Snowflake, ensuring scalable, secure data infrastructure for mobility analytics and reporting.
Lead a team building and scaling data pipelines, warehouses, and analytics platforms using SQL and ETL tools to deliver trusted business insights.
Lead a team building secure, scalable data platforms on Databricks to power enterprise analytics and business decisions at JPMorgan Chase.
Lead engineer building and scaling AWS-based data pipelines with Spark and ETL tools while managing a small team of engineers.
Design and build AI-ready data infrastructure that turns raw data into actionable insights for decision-making across teams.
Own and evolve a financial data reporting and visualization platform for investment teams, building scalable pipelines and optimizing relational models with modern engineering practices.
Designs and leads scalable data infrastructure and pipelines for a biotech company, mentors engineers, and drives data-driven decisions.
Lead the design and build of scalable data pipelines and internal tooling, using agentic AI to improve analytics velocity and reliability for a payments-focused product company.
Lead a team to design and build AWS-based data warehousing and analytics pipelines for HR tech, integrating and analyzing workforce data.
Lead a small offshore team to design and optimize data pipelines using Databricks and Spark, with a focus on performance tuning and Azure cloud integration.
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