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Designs and maintains scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and business intelligence workflows.
Builds and optimizes big-data pipelines using Hadoop, Spark, and SQL for a banking analytics platform, ensuring scalable ETL and reporting.
Senior data engineer builds and maintains scalable data pipelines using Snowflake, DBT, Glue, and Python to deliver analytics and reporting solutions for enterprise clients.
Build and improve data pipelines and warehousing for an AI-driven retail optimization platform using Python/Go and cloud tech.
Builds and maintains big-data pipelines using Spark, Scala, Hive, and SQL for a financial-sector client, with optional real-time streaming.
Designs and builds data pipelines, warehouses, and integrations using Snowflake, Hadoop, and Informatica for insurance-related systems.
Design and maintain scalable data pipelines and ETL/ELT processes using Azure tools to enable analytics and reporting for a government-run cannabis retailer.
Builds and maintains ETL pipelines and data workflows using Python, Databricks, and Snowflake for a banking client in a hybrid Agile environment.
Build and optimize data pipelines to process large financial datasets, then engineer ML features and models that power AI-driven banking solutions using Python, Spark, and NoSQL databases.
Builds Teradata reports and dashboards in Tableau, writes SQL stored procedures, and prepares weekly/monthly PowerPoint decks for a large enterprise client.
Build and deploy ML systems for crypto-exchange compliance, including AML monitoring and KYC risk scoring, using on-chain and fiat data with LLM-assisted tooling.
Migrate legacy banking data to new enterprise data marts using SQL, Hive, Impala, and Oozie, then validate and automate reports.
Lead AI model development for high-fidelity, multi-physics simulation software used in engineering and manufacturing, leveraging Python, TensorFlow/PyTorch, and cloud platforms.
Build data-mining pipelines and ML models to extract insights from e-commerce data, tagging systems, and user behavior to optimize GMV and productization.
Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze financial data in real-time and batch modes using tools like Informatica, Spark, and Python.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using dimensional modeling, Spark/Flink, and cloud data tools to power business decisions.
Build and maintain large-scale data infrastructure for a top crypto exchange, integrating AI agents to automate scheduling, cost optimization, and incident response across distributed systems.
Build and maintain full-stack e-commerce systems using Java/Spring, MySQL, NoSQL, Kafka, and cloud data tools while collaborating across global teams.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, SQL, and dbt to turn raw data into business insights for clients.
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