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Build and scale FINN’s data platform from scratch, implementing BigQuery governance, dbt pipelines, and modern data infrastructure to democratize financial data across the fintech startup.
Designs and maintains scalable data pipelines, warehouses, and governance frameworks using Python, SQL, and cloud tools to ensure clean, reliable data for analytics and reporting.
Lead the design of scalable, AI-powered data pipelines and lakehouse architectures for a global food manufacturer, optimizing cloud costs and enforcing governance across real-time streaming and ETL workflows.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Build data pipelines, AI tools, and cloud infrastructure for clients using Python, SQL, and cloud platforms like Snowflake and AWS/GCP/Azure.
Build and maintain data pipelines, cloud data warehouses, and RESTful APIs using Python, GCP, and FastAPI/Flask to support scalable data-driven applications.
Design and maintain ETL pipelines and data dashboards, integrating and transforming data with SQL, Python, and BigQuery for KPI tracking and reporting.
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to support HR analytics and business decision-making.
Build and maintain GCP-based data pipelines (ETL/ELT) using BigQuery, Dataflow, and SQL to feed analytics and warehouses for business insights.
Senior Data Engineer at DiDi Global to own end-to-end data issues, optimize pipelines, and ensure reliability of large-scale mobility data systems using SQL, Python, and cloud warehouses.
Senior Data Analyst at DiDi troubleshoots large-scale data systems, optimizes pipelines, and performs root-cause analysis across BI, ETL, and infrastructure to ensure reliability and performance.
Senior Data Engineer at DiDi Chuxing troubleshoots large-scale data pipelines, optimizes BI/ETL systems, and resolves complex data issues across global teams using SQL, Python, and cloud data warehouses.
Build and maintain scalable data pipelines and infrastructure to power AI applications using LLMs, retrieval systems, and agentic architectures for enterprise clients.
Build and maintain GCP-based data pipelines using Python, PySpark, Airflow, and BigQuery to process streaming and batch data for enterprise clients.
Designs, builds, and optimizes ETL/ELT pipelines and data warehousing solutions to support HR and payroll analytics using SQL, Python, and cloud platforms like AWS Redshift or Snowflake.
Designs and maintains GCP data pipelines, optimizes BigQuery, and builds ETL/ELT workflows to support business analytics and decision-making.
Data Engineer to migrate and govern data assets from BigQuery Sandbox to a managed Google Cloud Platform environment, building reliable ETL/ELT pipelines.
Designs, builds, and optimizes large-scale data pipelines and distributed systems using Python, PySpark, SQL, and cloud tools (GCP/Azure) to process high-volume datasets for clients.
Builds scalable data pipelines and modern analytics platforms using GCP tools like BigQuery, Dataflow, and Pub/Sub to turn raw data into actionable business insights.
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