Shrasti Tomar

Data Engineer | Analytics Expert | Python, Java, C++ | Azure | ETL | SQL & NoSQL | Spark SQL | Visualization | Pyspark | AWS Lambda | Athena | Airflow | Firebase | Meta Graph API | Google Ads API

Role
Data Engineer at Zupee
Location
Ghaziabad, UP, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Shrasti Tomar

Hey there! I am Shrasti Tomar, passionate Data Engineer and Analytics professional with a strong command of Python, Java, and C++. Proficient in leveraging Azure Data Factory, Synapse, and Databricks for seamless ETL pipelines. Skilled in working with SQL, MongoDB, and Azure SQL, along with expertise in Spark, PySpark, and essential libraries like NumPy and Pandas. Adept at crafting compelling visualizations using Tableau and Power BI.

Experience

  1. Data Engineer

    Zupee

    Nov 2023 — Present · Gurugram, IN

    Led end-to-end development of marketing data pipelines across Meta, Google Ads, AppsFlyer, and CleverTap—automating campaign performance tracking and attribution for 6+ apps; reduced manual reporting time by 80%- Built scalable ETL frameworks using Airflow, PySpark, and Athena, processing over 50M+ user events monthly, enabling daily campaign reporting and increasing marketing data availability SLAs from ~70% to >98%- Automated Meta remarketing and suppression cohorts (e.g, APK signups, FTD users) using the Meta Graph API, improving audience freshness and driving 10–15% uplift in CTR across targeted campaigns- Deployed hourly spend tracking and live dashboards for Meta and Google campaigns, giving marketing teams real-time visibility into spends, installs, and ROI—leading to a ~25% improvement in budget pacing- Implemented alerting and validation for partner event jobs, identifying discrepancies and reducing undetected failures by >90%; added threshold-based sanity checks across 100+ daily job executions- Migrated 20+ ad-hoc marketing upload jobs into a unified, modular framework with structured error handling and observability—resulting in zero post-deployment issues since go-live- Automated Tableau dashboard refreshes via Airflow and Tableau APIs, introducing retry logic and failure notifications—cutting refresh failure rates from ~30% to under 5%- Enabled state-level campaign cost visibility by ingesting granular data from Meta and Google APIs; initiated partner integration with Liftoff and Moloco to cover 100% of performance marketing spend centrally.

Education

  • Lovely Professional University

    BTech - Bachelor of Technology

    2018 — 2022

  • Lovely Professional University

    Master of Business Administration - MBA

    2022 — 2024

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Shrasti Tomar — Data Engineer at Zupee in Ghaziabad, UP, IN | Unifers