Sparsh Prakash profile photo 1 on Tal

Sparsh Prakash

SDE 1 Data & AI @Refyne | Distributed Systems, Database Internals, Streaming & Data Platforms

Bengaluru

2+ years of work experience

Refyne India
Sep 20251 yrPresent

Bengaluru

Refyne India
Mar 20251 yr 6 mosPresent

Bangalore Urban

• Migrated data pipelines to PyArrow and Parquet on S3/Redshift, achieving a 60% reduction in storage costs. • Developed an ETL process using Airflow, Lambda, and SQS for the MNCs, cutting manual effort by 80%. • Automated validation processes to rectify over $10M in data misalignment, significantly enhancing data accuracy.
thekasheer.
Oct 20241 yr 11 mosPresent

Cognizant
Dec 20244 mosMar 2025

Chennai, Tamil Nadu, India

• Designed and developed a GCP-based Workforce Management System (WMS) to automate employee data ingestion, transformation, and analysis. • Created automated preprocessing functions to standardize incoming datasets, ensuring schema consistency and compatibility. • Implemented cron-based scheduling with Cloud Scheduler to ensure daily execution of the full ETL workflow. • Developed and deployed BigQuery data models and wrote complex SQL queries to derive insights such as top-performing customers and most-used skills.
Coding Pro
Jun 20243 mosAug 2024

Remote

• Built and deployed an AI-driven VS Code extension, enhancing coding with code generation, debugging, and execution features. • Integrated Grok Cloud and Google Gemini APIs for robust code generation and error detection. • Developed a Flask-based backend and deployed on Render for global accessibility.
AICTE NEAT
May 20233 mosJul 2023

Remote

• Developed machine learning models using AWS services like Amazon SageMaker for real-world datasets. • Implemented data preprocessing, model selection, and evaluation techniques for complex problem-solving. • Optimized system performance in the AWS cloud environment to enhance machine learning model deployment.

Sparsh’s AI Stack

aistudio
aistudio
anthropic apis
anthropic apis
antigravity
antigravity
codex
codex
claudecode
claudecode

Education

SRM IST Chennai

Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning

SRM IST Chennai

20214 yrs2025

Join Sparsh and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Sparsh Prakash on Tal

Headline

SDE 1 Data & AI @Refyne | Distributed Systems, Database Internals, Streaming & Data Platforms

About

Data Engineer passionate about building robust, scalable data pipelines that transform business operations. With hands-on experience in cloud platforms (GCP, AWS), ETL workflows, and data modeling, I specialize in designing efficient data architectures and automating data processes. At Cognizant, I developed end-to-end pipelines using GCP technologies and implemented Medallion Architecture, improving system efficiency and response times. My background in AI and Machine Learning provides a unique perspective on creating data solutions that enable advanced analytics. Technical expertise includes: • ETL/ELT Processes & Data Pipeline Development • GCP (Dataproc, Dataflow, BigQuery, Pub/Sub) • AWS Cloud Services • SQL & NoSQL Databases • Data Modeling & Warehouse Architecture • Python, Spark, Airflow • Data Quality Management Currently pursuing BTech in AI and Machine Learning, blending academic insights with practical applications in data engineering.

Location

Bengaluru

AI stack

aistudio

anthropic apis

antigravity

codex

claudecode

Work experience

Software Engineer at Refyne India, Sep 2025 - Present · 1 yr, Bengaluru

SDE - Data Intern at Refyne India, Mar 2025 - Present · 1 yr 6 mos, Bangalore Urban, • Migrated data pipelines to PyArrow and Parquet on S3/Redshift, achieving a 60% reduction in storage costs. • Developed an ETL process using Airflow, Lambda, and SQS for the MNCs, cutting manual effort by 80%. • Automated validation processes to rectify over $10M in data misalignment, significantly enhancing data accuracy.

Founder at thekasheer., Oct 2024 - Present · 1 yr 11 mos

Data Engineering Intern at Cognizant, Dec 2024 - Mar 2025 · 4 mos, Chennai, Tamil Nadu, India, • Designed and developed a GCP-based Workforce Management System (WMS) to automate employee data ingestion, transformation, and analysis. • Created automated preprocessing functions to standardize incoming datasets, ensuring schema consistency and compatibility. • Implemented cron-based scheduling with Cloud Scheduler to ensure daily execution of the full ETL workflow. • Developed and deployed BigQuery data models and wrote complex SQL queries to derive insights such as top-performing customers and most-used skills.

AI & ML Intern at Coding Pro, Jun 2024 - Aug 2024 · 3 mos, Remote, • Built and deployed an AI-driven VS Code extension, enhancing coding with code generation, debugging, and execution features. • Integrated Grok Cloud and Google Gemini APIs for robust code generation and error detection. • Developed a Flask-based backend and deployed on Render for global accessibility.

Artificial intelligence Machine Learning intern at AICTE NEAT, May 2023 - Jul 2023 · 3 mos, Remote, • Developed machine learning models using AWS services like Amazon SageMaker for real-world datasets. • Implemented data preprocessing, model selection, and evaluation techniques for complex problem-solving. • Optimized system performance in the AWS cloud environment to enhance machine learning model deployment.

Education

Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning, SRM IST Chennai