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Sejal Dukhande

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Data engineer
Mumbai, Maharashtra, India
Contact Sejal regarding: 
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Full-time jobs
Starting at INR1.8M/year ~USD18.9k/year

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Résumé

Jobs verified_user 0% verified
  • Cybage Software
    Data Engineer
    Cybage Software
    Jul 2024 - Jun 2026 (2 years)
    Designed and developed end-to-end ETL/data pipelines using PySpark, SQL, and AWS services.
    Extracted and integrated data from multiple sources including Oracle ERP, CRM systems, and sales platforms.
    Built scalable data lake architecture on Amazon S3 with Raw, Processed, and Curated layers.
    Implemented data transformation logic including cleansing, deduplication, and validation.
    Developed incremental data loading strategies for efficient processing.
    Performed complex joins and data integration across multiple business domains (Finance, HR, Procurement, Sales).
    Designed and implemented star schema data models for analytics.
    Implemented Slowly Changing Dimensions (SCD Type 2) for historical data tracking.
  • Cognizant Technology Solutions
    Data Engineer
    Cognizant Technology Solutions
    Apr 2022 - Current (4 years 7 months)
    • Develop and maintain ETL pipelines using PySpark, SQL, Python, and AWS services.
    • Collaborate with cross-functional teams to resolve data issues and improve data quality.
    • Implement data transformation logic including joins, aggregations, and business calculations.
    • Monitor ETL pipelines using Apache Airflow and AWS CloudWatch.
Education verified_user 0% verified
  • Mumbai University
    Bachelor of Science in Information Technology
    Mumbai University
    Jan 2018 - Jan 2021 (3 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • Enphase Energy
    Enphase Data Integration & Analytics
    Enphase Energy
    Jul 2024 - Current (2 years 4 months)
    • Built a cloud-based data integration and analytics solution to manage enterprise data across Finance, Procurement, HR, and PPM domains.
    • Extracted data from Oracle ERP using AWS DMS and custom Python frameworks.
    • Orchestrated workflows using Apache Airflow and processed data with Apache Spark (PySpark) on AWS.
    • Loaded transformed data into Snowflake using External Stages and COPY INTO commands for high-performance analytics.
  • P
    AU/EU Bifurcation Data Pipeline with Snowflake Integration
    Pharmaceutical Sales & Marketing (AUEU Region)
    Apr 2022 - Jul 2024 (2 years 4 months)
    • Developed a scalable data engineering pipeline to process regional pharmaceutical sales data.
    • Leveraged AWS Lambda and Step Functions for event-driven workflow orchestration.
    • Implemented large-scale distributed data processing using Apache Spark on AWS EMR.
    • Enabled near real-time data ingestion into Snowflake using Snowpipe.