Hello, I'm

Sachin Loddiya Karthik

Building Scalable Data Solutions

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About Me

I'm a Data Engineer who thrives on transforming complex data into actionable insights. With over 4 years of experience, I specialize in building and automating robust ETL pipelines and architecting scalable data lakehouses in the cloud.

My passion lies at the intersection of data and cloud technology, where I enjoy leveraging tools like PySpark, Azure Databricks, and Synapse to design solutions that not only meet technical requirements but also drive real business outcomes. I'm driven by a constant curiosity to learn and a desire to build data systems that are not just efficient, but elegant.

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Experience

Data Scientist

Jan 2025 - Apr 2025

Western Michigan University, USA

Designed an automated class scheduling solution using Google OR-Tools and constraint programming, reducing manual scheduling time by 85% and optimizing faculty-course assignments for 200+ courses across 15 departments.
Created and deployed a Streamlit-based UI processing 50+ CSV files with real-time validation, reducing data input errors by 90% and enabling interactive visualizations of optimized schedules for 100+ faculty members.
Minimized scheduling conflicts by 95% and eliminated 40+ hours of weekly manual effort through integration of advanced optimization algorithms and a user-friendly frontend interface.

Data Scientist

Jan 2024 - Apr 2024

Green Expectations LLC, USA

Built the backend infrastructure for an AI-powered home sustainability platform, processing 1K+ data points per user via a rule-based House Sustainability Calculator, boosting recommendation accuracy by 35%.
Led the development of a secure user authentication system with persistent storage, enabling 100% individualized access and supporting real-time tracking for 500+ active users.
Engineered data flows for an NLP-driven conversational AI chatbot, reducing response latency by 40% and increasing user engagement by 25%.

Data Engineer

Jul 2021 - Jul 2023

Accenture, India

Engineered ETL pipelines with Azure Data Factory to migrate and reformat critical supply chain data into Parquet format, boosting processing efficiency by 40% while minimizing disruption.
Utilized Azure Databricks to process raw supply chain data from Data Lake Gen2, enhancing accuracy by 25% and halving transformation times.
Developed external tables and views within Azure SQL and implemented interactive Power BI dashboards, enhancing data access and delivering insights that resulted in a 25% increase in operational efficiency.
Improved data workflows by integrating ADF triggers, Databricks notebooks, and CI/CD pipelines via Azure DevOps, boosting team efficiency by 15% and accelerating SCPO upgrade project delivery by 30%.

Data Engineer

Nov 2020 - May 2021

Claritrics India Pvt Limited, India

Pioneered an advanced ETL pipeline using Azure Data Factory and Azure Databricks to create an OCR solution for extracting text from images, improving extraction accuracy by 30%.
Crafted and scheduled an end-to-end automated workflow using Azure Data Factory for orchestration and Azure Databricks for scalable image processing, reducing text extraction processing time by 40%.
Enhanced development and deployment cycles with Azure Data Factory triggers and Databricks job scheduling, resulting in a 20% gain in team efficiency and a 30% acceleration of project timelines.

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