Hi There,
I'm Siva Prasath

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About Me

About Me

I'm Siva Prasath

Data Engineer @ Mu Sigma

I’m a Data Engineer with 3+ years of experience building large-scale data systems for Fortune 50 and Fortune 100 companies. I work across PySpark, Databricks, Azure, AWS, and SQL to design and deliver pipelines that handle billions of records reliably. My projects have ranged from designing Lakehouse architectures to evolving schemas and performance tuning to create audit-compliant, analytics-ready datasets powering BI and ML use cases. I focus on building fault-tolerant, cost-efficient systems that scale seamlessly while driving measurable business outcomes.

email : sivaprasath26m@gmail.com

place : Bangalore, India - 560066

Skills & Abilities

Experience

Decision Scientist III

Jan 2025 – Present

Scalable Financial Data Platform – Fortune 100 Manufacturer (R2R)

  • Built and maintained Databricks pipelines processing 170M+ daily financial transactions across accounts payable and receivable, meeting SLA commitments.
  • Modeled 35+ fact and dimension tables on Databricks, leveraging Delta Lake for transforming raw GL entries into analytics-ready datasets.
  • Implemented SCD Type-2 logic for currency rate tracking using natural keys and effective dating for point-in-time accuracy.
  • Developed validation layers with unit tests and control checks to ensure audit compliance during UAT and production.
  • Partnered with finance, QA, and BI teams to align outputs with reporting and compliance needs.

Decision Scientist II

Jan 2024 – Dec 2024

Product Analytics – Fortune 50 Global Leader in Software & Cloud

  • Built and automated growth-funnel tracking for a communication suite, increasing active adoption from 8K → 140K users in 4 months.
  • Engineered telemetry-driven reporting for an AI-powered enterprise content platform, tracking billable events and usage KPIs.
  • Refactored a 7-hour ADF pipeline into modular stages, reducing runtime by 88% and enabling partial reruns.
  • Created metrics pipelines for feature adoptions and A/B test insights, driving product decisions.
  • Integrated CI/CD workflows in Azure DevOps for version-controlled, automated pipeline deployments.

Decision Scientist I

Jun 2022 – Dec 2023

Data Pipeline Migration & Compliance

  • Migrated and rebuilt 56+ Azure Data Factory pipelines to meet GDPR and EU data residency standards.
  • Implemented dynamic telemetry routing with region-based anonymization to safeguard sensitive data.
  • Designed a two-stage ETL architecture for regional aggregation and pre-processing of telemetry data.
  • Collaborated with compliance teams to define data handling rules and embed automated validations.
  • Reduced operational overhead through parameterized pipelines for multi-region processing.
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My Education

Education is not the learning of facts, but the training of the mind to think.

Master of Science in Data Science

Chandigarh University

2024-2026 | Pursuing

CGPA: 8.56/10

Bachelor of Engineering in Electrical and Electronics

Coimbatore Institute of Technology

2018-2022 | Completed

CGPA: 8.92/10

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