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Senior Data Engineer and AI Application Developer with 11+ years of experience designing scalable cloud-native data platforms, AI-powered applications, and enterprise analytics solutions. Experienced building end-to-end applications using Python, Django, SQL, Databricks, and cloud technologies while integrating machine learning models and intelligent automation into production systems. Strong background in backend development, REST API design, cloud deployment, scalable architectures, and delivering reliable solutions in Agile environments.…Senior Data Engineer and AI Application Developer with 11+ years of experience designing scalable cloud-native data platforms, AI-powered applications, and enterprise analytics solutions. Experienced building end-to-end applications using Python, Django, SQL, Databricks, and cloud technologies while integrating machine learning models and intelligent automation into production systems. Strong background in backend development, REST API design, cloud deployment, scalable architectures, and delivering reliable solutions in Agile environments.

Samuel P Boppuri

Data Scientist, Full Stack Developer, Back-End Developer, +2

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Senior Data Engineer and AI Application Developer with 11+ years of experience designing scalable cloud-native data platforms, AI-powered applications, and enterprise analytics solutions. Experienced building end-to-end applications using Python, Django, SQL, Databricks, and cloud technologies while integrating machine learning models and intelligent automation into production systems. Strong background in backend development, REST API design, cloud deployment, scalable architectures, and delivering reliable solutions in Agile environments.…Senior Data Engineer and AI Application Developer with 11+ years of experience designing scalable cloud-native data platforms, AI-powered applications, and enterprise analytics solutions. Experienced building end-to-end applications using Python, Django, SQL, Databricks, and cloud technologies while integrating machine learning models and intelligent automation into production systems. Strong background in backend development, REST API design, cloud deployment, scalable architectures, and delivering reliable solutions in Agile environments.

Available to hire

Senior Data Engineer and AI Application Developer with 11+ years of experience designing scalable cloud-native data platforms, AI-powered applications, and enterprise analytics solutions. Experienced building end-to-end applications using Python, Django, SQL, Databricks, and cloud technologies while integrating machine learning models and intelligent automation into production systems. Strong background in backend development, REST API design, cloud deployment, scalable architectures, and delivering reliable solutions in Agile environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Data Engineer at Santander Bank

July 1, 2025 - Present

Developed AI-powered web applications using Python and Django supporting business process automation. Integrated machine learning models and AI services into production-ready web applications through REST APIs. Designed backend services for AI agent workflows, improving automation and user experience. Developed responsive front-end components using JavaScript and TypeScript to support AI-driven user workflows. Collaborated with product stakeholders to translate business requirements into scalable AI solutions. Optimized application performance and deployment pipelines using Git and Azure DevOps. Projects included AI-Powered Business Assistant (Django-based web app with AI services and REST APIs; improved response times) and Enterprise Data Quality Framework (automated validation, anomaly detection, reconciliation).

Senior Data Engineer at Ford Motor Company, MI (Epitec - Contract)

October 1, 2017 - June 1, 2025

Developed Python services supporting intelligent data validation and automation. Built reusable REST APIs for analytics applications. Automated reporting workflows using Python. Collaborated with enterprise architecture teams supporting Azure-based modernization initiatives and cloud data migration efforts. Built reusable Python utilities supporting enterprise ETL automation and reporting frameworks. Supported Azure Data Factory deployments and Azure SQL connectivity. Collaborated with infrastructure teams to implement secure access controls and support cloud migration activities. Delivered scalable Power BI reporting solutions. Integrated multiple enterprise data sources supporting manufacturing, quality, operational, and engineering analytics. Created reusable mapping documents supporting enterprise data integration initiatives.

Senior Business Intelligence Consultant at Point 72 Asset Management

January 1, 2016 - September 1, 2017

Integrated machine learning models into portfolio analytics workflows. Developed Python APIs supporting predictive analytics. Built reusable Spark transformation libraries for portfolio data processing. Optimized distributed SQL transformations reducing batch execution time. Developed Python automation for data ingestion, reconciliation, and portfolio analytics. Supported enterprise data modernization with Azure cloud infrastructure; delivered scalable analytics reporting using Power BI and Tableau.

Data Analyst / ETL Developer at LexisNexis

June 1, 2015 - December 1, 2015

Developed reusable Informatica mappings supporting enterprise ETL modernization. Assisted batch processing optimization and data validation. Optimized SQL procedures improving reporting performance and data consistency. Supported SQL Server infrastructure migration and ETL modernization initiatives.