I am a Data & AI Engineer with 10+ years of experience designing scalable data platforms, building machine learning systems, and delivering analytics solutions across finance, retail, and healthcare. I specialize in end-to-end data pipelines, cloud-based data engineering, ML model deployment, and MLOps. I thrive in cross-functional teams to translate business needs into scalable AI solutions, with a focus on reliability, performance, and data quality. I enjoy turning complex data challenges into practical, user-friendly analytics and AI products that drive informed decision-making.

Sandeep Lingampally

I am a Data & AI Engineer with 10+ years of experience designing scalable data platforms, building machine learning systems, and delivering analytics solutions across finance, retail, and healthcare. I specialize in end-to-end data pipelines, cloud-based data engineering, ML model deployment, and MLOps. I thrive in cross-functional teams to translate business needs into scalable AI solutions, with a focus on reliability, performance, and data quality. I enjoy turning complex data challenges into practical, user-friendly analytics and AI products that drive informed decision-making.

Available to hire

I am a Data & AI Engineer with 10+ years of experience designing scalable data platforms, building machine learning systems, and delivering analytics solutions across finance, retail, and healthcare. I specialize in end-to-end data pipelines, cloud-based data engineering, ML model deployment, and MLOps.

I thrive in cross-functional teams to translate business needs into scalable AI solutions, with a focus on reliability, performance, and data quality. I enjoy turning complex data challenges into practical, user-friendly analytics and AI products that drive informed decision-making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Applied AI Engineer at Cardinal Health
November 1, 2024 - Present
Designed and deployed end-to-end AI pipelines integrating structured healthcare datasets with machine learning workflows using Python, PySpark and AWS Glue, enabling a unified data-to-model lifecycle. Built modular architectures leveraging AWS S3 and Step Functions to support scalable batch and real-time processing.
AI Platform Engineer at BNY Mellon
March 1, 2022 - October 1, 2024
Designed and built scalable AI and data platforms to support end-to-end machine learning workflows, enabling seamless integration of data pipelines and model deployment. Leveraged Azure Data Factory and Azure Databricks to create unified data processing and ML pipelines.
Data Engineer (Machine Learning & Forecasting) at Publix
October 1, 2020 - February 1, 2022
Designed and developed scalable data pipelines to support demand forecasting and inventory optimization across retail operations. Built batch ingestion, ETL/ELT pipelines and time-series forecasting models; integrated forecasting outputs into downstream reporting and decision-making systems.
Analytics Engineer at Northern Trust
January 1, 2019 - September 1, 2020
Designed and developed data models and ETL/ELT pipelines for financial reporting and analytics. Built dashboards using Power BI/Tableau and optimized BigQuery data processing.
Data Engineer at Axis Bank
June 1, 2015 - November 1, 2018
Designed and developed foundational data pipelines to ingest and process large volumes of banking transaction data. Built batch ETL workflows, data warehouse tables, validation checks.

Education

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Qualifications

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Industry Experience

Financial Services, Healthcare, Retail, Software & Internet