Sripathi Mohanasundaram

Resume

Eight years, four teams, one discipline.

Making data move reliably at scale, from WooCommerce plugins to enterprise lakehouses.

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Experience

  1. Data Engineer

    Jan 2023 — Present

    Fractal Analytics

    • Developed scalable metadata pipelines using Databricks, Azure tools, and SQL, enhancing data scalability for a retail client.
    • Contributed to the ODS project, replicating 50+ transactional tables to reduce system load and enable faster scalability.
    • Built an in-store Virtual Assistant with Databricks and Azure OpenAI, improving customer support and ticket classification.
    • Migrated data from Azure Synapse to Microsoft Fabric OneLake, ensuring integrity and optimizing storage architecture.
    • Monitored and optimized pipelines, achieving 99.9% uptime and supporting rapid scaling for high-volume data operations.
    • Collaborated with stakeholders to design scalable solutions, delivering measurable outcomes aligned with growth goals.
    Databricks Azure Data Factory Microsoft Fabric Azure OpenAI SQL

  2. Data Engineer

    Sep 2021 — Dec 2022

    Accenture AI

    • Designed and deployed robust ETL pipelines for efficient data staging, transformation, and loading into Azure Data Warehouse, prioritizing performance and scalability.
    • Utilized Azure Data Factory to streamline workflow orchestration and monitor pipeline operations, enhancing data integration processes.
    • Applied Azure Databricks and PySpark for advanced data cleansing, transformation, and processing, achieving significant improvements in data quality and processing speed.
    • Authored and optimized SQL scripts for seamless data modeling, extraction, and management tasks.
    • Performed detailed data profiling, validation, and quality assurance to uphold data accuracy and consistency across datasets.
    Azure Data Warehouse Azure Data Factory Azure Databricks PySpark SQL

  3. Data Analyst

    Jun 2019 — Sep 2021

    Quest Global

    • Conducted comprehensive analysis of diverse datasets including oil production, air emission, and electrical data, employing statistical techniques and data visualization tools.
    • Developed and maintained Tableau dashboards, reports, and visualizations, presenting complex data in a concise and compelling manner to facilitate data-driven decision-making.
    • Conducted exploratory data analysis (EDA) to uncover patterns, trends, and correlations in the data, providing actionable insights to support business strategies and process improvements.
    Tableau EDA Data Visualization

  4. Software Engineer

    Feb 2016 — Feb 2018

    Asenton Technologies

    • Developed WooCommerce plugins to implement features like infinite scrolling, reward points, cart recovery, and subscription management.
    • Created responsive, visually appealing product landing pages using HTML and CSS.
    • Analyzed digital marketing metrics to optimize campaigns and drive engagement through strategic email initiatives.
    • Fixed front-end issues on customer websites to enhance functionality and user experience.
    WooCommerce HTML CSS

Education

  1. PG Diploma — Thermal Power Plant Engineering

    2018 — 2019

    National Power Training Institute

    Focused on power plant operation and maintenance.

  2. B.E. — Electrical and Electronics Engineering

    2011 — 2015

    Anna University

    Core electrical and electronics concepts.

Toolkit & certification

Core
Python · SQL · PySpark · Data Modelling · Dimensional Modelling
Platform
Azure Data Factory · Azure Databricks · Azure Functions · Azure AI Foundry · Microsoft Fabric
GenAI
Generative AI · Azure OpenAI · LangChain · Langraph · Unsloth · MLflow · Hugging Face Transformers
Certified
Microsoft Fabric Analytics Engineer Associate