Swathi Kunisetti
@swathikunisetti
Data Engineer and Data Scientist building cloud data pipelines and ML models to power real-time decisions.
United StatesWhat I'm looking for
I’m a Data Specialist with experience across software engineering, data engineering, and data science, focused on building scalable applications and analytics solutions. I’ve supported development of cloud-based data pipelines, machine learning models, and real-time insights across healthcare and supply-chain environments.
In recent roles, I’ve improved data retrieval performance with Azure SQL and Synapse, automated forecasting workflows using Azure Data Factory and Python, and transformed unstructured data in Azure Data Lake to drive operational efficiency. I’ve built and deployed forecasting models on AWS SageMaker, implemented MLOps pipelines for repeatable releases, and monitored production reliability with CloudWatch—while also delivering actionable Power BI dashboards and real-time streaming intelligence using Kafka and Python.
Experience
Work history, roles, and key accomplishments
Data Engineer
Worthington Industries
May 2025 - Present (1 year 1 month)
Optimized T-SQL queries in Azure SQL and Synapse Analytics to accelerate real-time insights for supply chain, operations, and finance teams. Automated forecasting workflows with Azure Data Factory and Python, built Power BI dashboards for trend visibility, and applied Azure ML/Databricks modeling to uncover cost-saving opportunities.
Data Scientist
Qventus, Inc
Feb 2024 - May 2025 (1 year 3 months)
Built and deployed a patient flow forecasting model on AWS SageMaker to support hospital demand, staffing, and day-to-day resource planning. Developed healthcare data pipelines with AWS Glue and SQL Server Data Quality Services, and implemented MLOps with automated training/versioning and monitored deployments with latency under 2s and MAPE under 15%.
Software Engineer
RealPage India
Aug 2020 - Nov 2022 (2 years 3 months)
Developed an AI-powered smart surveillance inference system using OpenCV, NVIDIA DeepStream SDK, and PostgreSQL for real-time incident analysis. Built a Kafka-based streaming platform supporting 50+ concurrent video streams (4s latency) and improved incident reporting by 30%, while deploying drone compliance and GPU-accelerated inference optimizations that increased processing speed by 35%.
Education
Degrees, certifications, and relevant coursework
Concordia University, St. Paul
Master of Information Technology and Management, Information Technology & Management
Earned a Master’s in Information Technology & Management at Concordia University, St. Paul.
Pace Institute of Technology and Sciences
Bachelor's in Information Technology, Information Technology
Earned a Bachelor’s degree in Information Technology at Pace Institute of Technology and Sciences.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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