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Lead a data engineering team to maintain cloud data pipelines, warehouses, and lakes, migrating legacy systems to Snowflake and AWS while ensuring stability and performance.
Build and maintain scalable data pipelines and ETL processes for TikTok’s ad data systems, ensuring high-quality data for advertisers and supporting real-time analytics.
Build and maintain cloud-native data pipelines and dimensional models on Snowflake and AWS, using SQL, Stored Procedures, and Snowpipe to ingest and transform enterprise data.
Build and maintain ETL/ELT pipelines and data transformations to turn raw logs and usage data into reliable analytics for a speech-intelligence startup in Singapore.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, migrating and modernizing healthcare data pipelines and ETL workflows.
Build and migrate data pipelines using SQL and dbt Core, moving legacy systems to Snowflake in a cloud migration program for a large enterprise analytics platform.
Design and build scalable data pipelines and cloud data warehouses for e-commerce and enterprise systems using ETL tools and modern data architectures.
Build and maintain data pipelines and warehouses to feed analytics and AI teams, using Python, SQL, and ETL tools for semiconductor and IoT data.
Build and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad platform, using Spark, Hive, and Python.
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Builds scalable data pipelines and backend services using Java, SQL, and Scala to power analytics and reporting for a fintech company.
Intern role maintaining data pipelines and BI dashboards for a ticketing platform, using SQL, Python, and Apache Superset to prepare sales and patron analytics.
Build and maintain data pipelines, models, and Power BI dashboards to deliver reliable healthcare analytics and reporting for hospital operations and decision-making.
Design and maintain scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Leads a team to design and implement data pipelines and warehouses for a large bank, ensuring secure, high-quality data access for analytics and compliance.
Designs and maintains scalable data pipelines and cloud-based data warehouses to feed analytics and AI models, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Build and maintain AI-powered data pipelines for clinical and sensor data, integrating with cloud platforms and AI algorithms to support healthcare analytics.
Develop and maintain a global cash management system for a major bank using Java/JEE, React, and Spring frameworks in a Unix environment.
Build and maintain data pipelines, warehouses, and ML models on Azure Databricks using Python, Spark, and TensorFlow to power analytics and predictions for a global logistics firm.
Design and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad-data systems, using Spark, Hive, and dimensional modeling.
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