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Deena Reddy

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Irving, Texas, United States

Contact Deena regarding: 
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Full-time jobs
Starting at USD5.5k/month

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Résumé


Jobs verified_user 0% verified
  • OpenAI
    Data Engineer
    OpenAI
    Jul 2024 - Current (2 years)
    • Designed and implemented scalable data pipelines processing over 10TB of daily data, leveraging OpenAI's infrastructure, ensuring efficient data ingestion, transformation, and storage for downstream analytics and model training. • Orchestrated data warehousing solutions and data lake implementations on Azure, managing petabyte-scale data storage and enabling efficient querying for analytical teams, reducing data retrieval times by 20%. • Containerized data pipelines using Docker and managed Kubernetes services, enabling seamless deployment across environments and reducing development-to-production cycle time by 25%. • Developed Python-powered dbt transformations with Jinja templating to automate feature store creation, reducing ML fea
  • Apple
    Data Engineer
    Apple
    Jan 2024 - Jul 2024 (7 months)
    • Designed robust ETL/ELT workflows with dbt, Snowflake, and Apache Airflow, transforming large amounts of data daily, reducing pipeline execution time by 25%, and improving data observability with Great Expectations. • Implemented CI/CD pipelines using GitHub Actions and Terraform to automate testing and deployment of data pipelines, reducing production incidents by 30% and enabling zero-downtime updates for critical analytics workflows. • Built and optimized real-time, event-driven data pipelines using Python, PySpark, Kafka, and AWS services (Glue, Lambda, SQS), increasing data throughput by 40% and enabling low-latency analytics. • Designed and optimized star schema data models in Snowflake using advanced SQL techniques (partitionin
  • JPMorgan Chase
    Data Engineer
    JPMorgan Chase
    Jan 2019 - Nov 2022 (3 years 11 months)
    • Modernized ETL pipelines by developing scalable data integration solutions using Apache Spark (PySpark) and SQL on AWS (EMR, Glue), replacing legacy batch processes and improving data throughput by 35% for trading and risk analytics. • Developed interactive Tableau dashboards with advanced analytics capabilities (LOD calculations, parameter-driven views) to visualize trading paterns and risk exposure, enabling 25% faster decision-making for portfolio managers. • Automated data pipeline operations using Linux shell scripting (Bash/Python), developing cron jobs and monitoring scripts that reduced manual system interventions by 60% and improved SLA compliance for critical ETL processes. • Built high-performance data processing workflows
Education verified_user 0% verified
  • S
    Bachelor's in Computer Science
    St. Martin's Engineering College
  • Southern Illinois University
    Master's in Computer Science
    Southern Illinois University
  • M
    Microsoft Certified – Azure Data Engineer Associate