Hi, I'm
Sumant Kantamsetty
Software Engineer · Data Engineer · Cloud Engineer — building pipelines, products, and insights at scale.
About me
I build data systems
that scale.
I'm a Software and Data Engineer with 4+ years of experience across backend development, data engineering, databases, cloud platforms and application delivery. I work across the full data stack — from API ingestion and ETL pipelines to data modelling, search, and end-user products.
My core stack is Python, SQL, dbt, Snowflake, Databricks and AWS, with hands-on experience in FastAPI, Elasticsearch, Docker, Terraform and React. I care about data quality, pipeline reliability and making data genuinely useful to the people who depend on it.
Outside of work I enjoy exploring public datasets, shipping side projects, and occasionally breaking things in the cloud in the name of learning.
Experience
Where I've worked
4+ years across data engineering, backend development, and cloud platforms.
Hyderabad, Telangana
- Design and develop Python/FastAPI backend services and data-driven applications supporting supplier data, search, analytics and order-management workflows.
- Build and maintain ETL/ELT pipelines using Python, SQL, DBT and Snowflake for processing and transforming supplier datasets.
- Implement data workflows following the Bronze–Silver–Gold Medallion Architecture.
- Develop and maintain workflows involving Databricks, DBT and Snowflake for ingestion, transformation and validation.
- Build supplier data-matching capabilities using Python-based matching and semantic-search approaches.
- Contribute to ESG analytics, dashboards and AI-enabled applications using Python, FastAPI, React and NLP.
- Work with AWS services including S3, EC2, RDS, IAM, Lambda and CloudWatch.
Bhubaneswar, Odisha
- Developed and maintained web applications and backend services using Python, Node.js, PHP, JavaScript and modern frontend technologies.
- Designed and integrated REST APIs, database workflows and application-level business logic.
- Worked with MySQL, SQL Server and MongoDB for application development and data processing.
- Implemented and supported Elasticsearch-based transaction tracking and search capabilities.
- Worked with AWS, Docker, Git and CI/CD workflows for application development and deployment.
Projects
Things I've built
A mix of open-source side projects and production engineering work.
End-to-end pipeline extracting 44M+ MSME records from India's Udyam registration portal across 36 states. Built a full star schema in Snowflake (dbt), orchestrated bi-weekly incremental loads with Apache Airflow, and shipped a public search and analytics web app.
Bronze–Silver–Gold transformation workflows using dbt and Snowflake. Built ingestion, transformation and validation pipelines for supplier datasets at scale, with Databricks for large-scale analytical processing.
Backend search and matching services across supplier name, address, city and state using FastAPI and Elasticsearch. Explored semantic-search approaches for entity resolution and deduplication at scale.
Analytics and AI-assisted functionality combining a FastAPI backend, React dashboards and NLP-powered features. Contributed to ESG data processing, visualisation and AI-enabled reporting workflows.
Skills
What I work with
My toolkit across the full stack — pipelines to products.