Minal Gumgaonkar

Data Engineer, Product Analytics

Role
Data Engineer, Analytics at Meta
Location
Mountain View, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Minal Gumgaonkar

More than 5 years of experience as a Sr.Data Analytics Engineer in Visa\'s Product Analytics and Core ETL Services and team.• Expertise in developing ETL and Data Engineering solutions for Predictive Analytics Products and client facing applications on Visa\'s Marketplace Analytics Platform used globally by of clients• Worked extensively in Data Visualization tools (Python, Tableau, Microstrategy, PowerBI), SQL, Data Warehousing for enterprise wide report generation to unleash the power of data and derive insights on consumer trends.• Hands on experience in ETL technologies like SQL, Python, Spark RDDs, Dataframes, UDFs and implementing Hive partitioning and bucketing, complex SQL queries etc on a daily basis.• Developed proof of concepts and working experience in Time series forecasting using ML models (RNN, CNN, LSTM, GRU, Gradient Boosting). Have good hands on experience in deep learning frameworks (keras and scikit-learning).• Have lead projects right from gathering business requirements, designing workflows and product use-cases to converting functional requirements into technical specifications for Data Analytics projects.• Worked on Query Optimization projects (in Hive and PySpark) and developed Data Visualization framework in Tableau and MicroStrategy for the entire application Suite of Data Products.• Have worked mainly in Agile Projects as well as waterfall framework.My passion is to work on challenging product analytics use-cases, create insightful data visualizations and work on data engineering and data analytics for varied applications. Domain knowledge and expertise: Data Engineering or ETL, Product Analytics, Business Intelligence, Exploratory Data Analytics (EDA), Data Science (Regression, Classification and Deep Learning), Data Visualization, Data WarehousingKey Competencies: SQL, Python, PySpark, Tableau, Apache Hive, Apache Presto, Numpy, Pandas, Matplotlib, Keras, Oracle, SQL Server, MySQL, Informatica, MicroStrategy, PowerBI, Sql Server Reporting and Integrating Services (SSIS and SSRS)

Experience

  1. Data Engineer, Analytics

    Meta

    Dec 2021 — Present · Menlo Park, CA, US

    Scaled Product Experimentation velocity by 60% by architecting a self-serve, configuration-driven funnel analytics framework driving adoption across multiple product teams.2. Standardized event instrumentation and automated logging requirements across Stories, Feed and Reels, delivering consistent, high-quality telemetry that improved downstream analytics reliability.3. Reduced XFN analytics query overhead by 70% by building Agentic AI workflows to automate insights generation (feature adoption, funnel analysis, root-cause diagnostics), significantly accelerating decision making cycles.4. Built growth accounting and user-segmentation pipelines to analyze retention across cohorts, uncovering key drop-off points and enabling data-informed product strategy for high-impact surfaces.5. Conceptualized and delivered a suite of recommendation-model relevance metrics for music content in Stories and Reels, enabling Ranking teams to optimize personalization models and improve content engagement signals.6. Built scalable ML training data augmentation pipelines for Synthetic Data Generation, increasing training data diversity and contributing to improved Ads Ranking performance and revenue impact.7. Reduce pipeline runtime and compute costs by 90%(e.g, 48hrs → 4hrs) through advanced SQL optimization techniques in Spark and Presto, improving reliability and cutting operational overhead. Conceptualized real-time Data Quality and Integrity domain metrics for event-based sequential features, enabling proactive anomaly feature detection and root-cause analysis, reducing data incidents and improving ML model stability.

Education

  • Vidyalankar Institute Of Technology

    Bachelor's Degree, Computer Engineering

    2009 — 2013

  • Santa Clara University Leavey School of Business

    Master's Degree, Management Information Systems, General

    2014 — 2016

Skills

  • Sql
  • Tableau
  • Python
  • Ssrs
  • Big Data Analytics
  • Apache Spark
  • Microsoft Sql Server
  • Java
  • Microstrategy Reporting
  • Oracle Sql Developer
  • Ssis
  • Informatica
  • Hadoop
  • R
  • Html5
  • Hive
  • Shell Scripting
  • Sqoop
  • Data Analytics
  • Css
  • Data Analysis
  • Business Analysis
  • Hortonworks Sandbox
  • Jquery
  • Ajax
  • Javascript
  • Sql*Plus
  • Eclipse
  • Sql Server Management Studio
  • Html
  • Pl/Sql
  • Wordpress
  • Php
  • Web Content Management
  • Drupal
  • Website Development
  • Databases
  • Asp.net
  • Analytical Skills
  • C

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Minal Gumgaonkar — Data Engineer, Analytics at Meta in Mountain View, CA, US | Unifers