Supriya Kasibhatla
@supriyakasibhatla
I build enterprise data platforms and production-ready AI and agentic analytics systems.
United StatesWhat I'm looking for
I've led enterprise data-platform modernization at iSpace Software Solutions, migrating SQL Server workloads to Snowflake and building governed dbt transformation layers, reliable incremental pipelines, and analytical datasets.
I design end-to-end data architectures across APIs, SQL Server, Snowflake, and S3, with a focus on performance, maintainability, cost efficiency, data quality, and BI enablement. I also support ML-integrated systems through feature datasets, model-input validation, and production pipeline integration.
Previously, I led data and analytics engineering for NYC DOITT, building large-scale pipelines across NYPD, FDNY, and 311 data and contributing to the Building Intelligence Toolkit. At BNY Mellon, I architected ETL workflows and predictive analytics for the Platinum loan analytics platform.
I'm extending my data engineering foundation into production-oriented GenAI and agentic systems, including a retail intelligence copilot using LangChain, LangGraph, RAG, MCP, FastAPI, forecasting, anomaly detection, and grounded recommendations.
Experience
Work history, roles, and key accomplishments
Principal Software Engineer (Data)
iSpace Software Solutions
Dec 2021 - Present (4 years 9 months)
Architect and lead modernization of enterprise data platforms, including SQL Server-to-Snowflake migration, schema redesign, dbt transformation layers, and workload/performance optimization. Design end-to-end pipelines spanning API ingestion, SQL Server/Snowflake integration, and S3-based incremental processing with a focus on reliability, scalability, maintainability, and cost efficiency.
Engineering Lead – Data & Analytics
NYC DOITT
Dec 2016 - Aug 2018 (1 year 8 months)
Engineered large-scale ingestion and integration pipelines across NYPD, FDNY, and 311 datasets for citywide analytics and operational decision-making. Applied clustering and regression models to emergency-response analytics and built scalable Python/SSIS ETL workflows.
Architected ETL workflows and enterprise data structures supporting the Platinum loan analytics platform. Built predictive analytics workloads using Python, pandas, NumPy, and regression models and integrated third-party APIs into enterprise data environments.
Earlier Engineering Roles
Accenture, A&E Networks, Roska Healthcare
Jan 2007 - Dec 2015 (8 years 11 months)
Designed enterprise data warehouses, OLAP cubes, ETL platforms, reporting solutions, automation frameworks, and data-monitoring tools.
Education
Degrees, certifications, and relevant coursework
AWS
AWS Machine Learning Specialty, Machine Learning
AWS Machine Learning Specialty certification obtained in 2021.
Georgia Institute of Technology
Master's, Data Analytics
2018 - 2020
Master's in Data Analytics from Georgia Institute of Technology, completed in 2020.
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
Skills
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