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Hi, I’m Shashank Uppalamurthy, a data engineering and machine learning professional with 2+ years of hands-on experience designing and maintaining SQL-driven ETL pipelines, building scalable analytics datasets, and deploying ML models into production. I enjoy turning complex data into actionable insights using Python, Snowflake, and AWS, and I value collaboration with cross-functional teams to deliver reliable data products. I thrive in Agile environments, enjoy exploring AI-powered tooling to accelerate development, and am passionate about creating scalable data solutions that empower business decision-making.…Hi, I’m Shashank Uppalamurthy, a data engineering and machine learning professional with 2+ years of hands-on experience designing and maintaining SQL-driven ETL pipelines, building scalable analytics datasets, and deploying ML models into production. I enjoy turning complex data into actionable insights using Python, Snowflake, and AWS, and I value collaboration with cross-functional teams to deliver reliable data products. I thrive in Agile environments, enjoy exploring AI-powered tooling to accelerate development, and am passionate about creating scalable data solutions that empower business decision-making.

Shashank Uppalamurthy

Data Scientist, AI Engineer, Data Analyst, +2

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Hi, I’m Shashank Uppalamurthy, a data engineering and machine learning professional with 2+ years of hands-on experience designing and maintaining SQL-driven ETL pipelines, building scalable analytics datasets, and deploying ML models into production. I enjoy turning complex data into actionable insights using Python, Snowflake, and AWS, and I value collaboration with cross-functional teams to deliver reliable data products. I thrive in Agile environments, enjoy exploring AI-powered tooling to accelerate development, and am passionate about creating scalable data solutions that empower business decision-making.…Hi, I’m Shashank Uppalamurthy, a data engineering and machine learning professional with 2+ years of hands-on experience designing and maintaining SQL-driven ETL pipelines, building scalable analytics datasets, and deploying ML models into production. I enjoy turning complex data into actionable insights using Python, Snowflake, and AWS, and I value collaboration with cross-functional teams to deliver reliable data products. I thrive in Agile environments, enjoy exploring AI-powered tooling to accelerate development, and am passionate about creating scalable data solutions that empower business decision-making.

Available to hire

Hi, I’m Shashank Uppalamurthy, a data engineering and machine learning professional with 2+ years of hands-on experience designing and maintaining SQL-driven ETL pipelines, building scalable analytics datasets, and deploying ML models into production. I enjoy turning complex data into actionable insights using Python, Snowflake, and AWS, and I value collaboration with cross-functional teams to deliver reliable data products.

I thrive in Agile environments, enjoy exploring AI-powered tooling to accelerate development, and am passionate about creating scalable data solutions that empower business decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Associate Engineer at Strategic Systems Inc

March 1, 2025 - Present

Designed, developed, and maintained SQL-driven ETL pipelines using Python and Snowflake to support analytics and ML workloads. Built scalable data ingestion pipelines integrating data from APIs, AWS S3, CRM platforms, and internal relational databases. Developed complex SQL transformations and designed Snowflake tables to support reporting and analytics. Implemented data validation and quality checks, maintained scheduled batch ETL processes, and produced analytics-ready datasets. Used AI-assisted tools (ChatGPT, GitHub Copilot) to accelerate development and explored LLM-based automation for data validation and internal documentation. Built NLP capabilities with Hugging Face transformers and developed interactive ML apps with Streamlit, integrating outputs with Snowflake for downstream analytics. Collaborated with data scientists and analysts in Agile teams and produced technical documentation.

Machine Learning Engineer at Pandata Group

May 1, 2024 - July 1, 2024

Built data preprocessing and transformation pipelines using Python, Pandas, NumPy, and SQL to improve data quality for ML and analytics workflows. Processed large-scale datasets with Apache Spark on AWS EMR for batch and streaming analytics. Developed and optimized ML models using Scikit-learn, TensorFlow, and PyTorch for classification, regression, and forecasting. Designed predictive models (e.g., Random Forest, ARIMA) to drive data-driven insights. Leveraged Generative AI tools to accelerate model development and applied LLMB-based techniques for exploratory data analysis and rapid prototyping. Created SQL-based data extraction pipelines for ML training, troubleshot Spark performance, and delivered visualizations with Matplotlib/Seaborn. Documented data workflows and collaborated with cross-functional teams to align with business KPIs.

Associate Machine Learning Engineer at Strategic Systems Inc

December 1, 2022 - June 30, 2023

Designed and tuned ETL pipelines for large-scale data ingestion into Redshift. Used AI-assisted coding tools to improve SQL and Python scripting efficiency and automated routine data engineering tasks via prompt-based approaches. Developed and optimized SQL queries and stored procedures, supported analytics needs, and tuned Spark jobs on AWS EMR to improve batch processing performance. Implemented data governance controls (encryption, access permissions) using S3 and Athena. Worked on NLP tasks (sentiment analysis, text classification) and collaborated with engineers and marketers to translate requirements into scalable data and ML solutions. Produced documentation covering data flows, governance, and operational processes.

Research Assistant at R.M.D Engineering College

March 1, 2020 - April 30, 2023

Conducted applied research in IoT, ML, and embedded systems. Designed and developed projects such as a Smart AI Farming System integrating IoT sensor data with ML models, plant disease detection via image processing, and a voice-controlled smart wheelchair system. Built data pipelines, performed feature engineering, trained and evaluated models, and contributed to publications. Documented system architectures and research workflows to support knowledge sharing and future work.