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AI/ML and data engineer with 4.5 years of experience building production data pipelines, backend services, and analytics-ready systems across enterprise environments. Strong in Python, SQL, cloud infrastructure, and API-driven development, with hands-on exposure to model integration, workflow automation, and scalable system design. Known for delivering reliable solutions that improve performance, data quality, and operational efficiency in fast-moving, stakeholder-driven teams.…AI/ML and data engineer with 4.5 years of experience building production data pipelines, backend services, and analytics-ready systems across enterprise environments. Strong in Python, SQL, cloud infrastructure, and API-driven development, with hands-on exposure to model integration, workflow automation, and scalable system design. Known for delivering reliable solutions that improve performance, data quality, and operational efficiency in fast-moving, stakeholder-driven teams.

LAKSHMI AISHWARYA GADDE

Data Engineer, AI Engineer, Software Engineer, +3

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AI/ML and data engineer with 4.5 years of experience building production data pipelines, backend services, and analytics-ready systems across enterprise environments. Strong in Python, SQL, cloud infrastructure, and API-driven development, with hands-on exposure to model integration, workflow automation, and scalable system design. Known for delivering reliable solutions that improve performance, data quality, and operational efficiency in fast-moving, stakeholder-driven teams.…AI/ML and data engineer with 4.5 years of experience building production data pipelines, backend services, and analytics-ready systems across enterprise environments. Strong in Python, SQL, cloud infrastructure, and API-driven development, with hands-on exposure to model integration, workflow automation, and scalable system design. Known for delivering reliable solutions that improve performance, data quality, and operational efficiency in fast-moving, stakeholder-driven teams.

Available to hire

AI/ML and data engineer with 4.5 years of experience building production data pipelines, backend services, and analytics-ready systems across enterprise environments. Strong in Python, SQL, cloud infrastructure, and API-driven development, with hands-on exposure to model integration, workflow automation, and scalable system design.

Known for delivering reliable solutions that improve performance, data quality, and operational efficiency in fast-moving, stakeholder-driven teams.

Skills

Experience Level

Expert

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Work Experience

Data Engineer at Wells Fargo

June 1, 2025 - Present

Built and maintained Python-based ETL workflows to move 12+ upstream datasets into curated analytical tables, improving downstream reporting reliability for business users. Optimized SQL transformations and data validation checks across production pipelines, reducing recurring data quality defects by 32% and cutting manual rework cycles. Partnered with analysts and application stakeholders to translate business requirements into repeatable data products, accelerating delivery of new reporting views by 25%. Automated pipeline monitoring and failure alerts across scheduled jobs, shortening average incident response time from hours to under 30 minutes. Improved performance of large-scale data loads by tuning queries, partitioning logic, and refresh schedules, lowering runtime by 28% on high-volume workflows.

Analyst 2 Software Engineer at DXC Technology

June 1, 2020 - December 1, 2023

Developed and supported Python and Java-based internal applications for enterprise clients, serving 5,000+ monthly users across workflow and reporting functions. Implemented REST APIs and backend integrations to connect front-end systems with database services, reducing manual processing time by 40% for recurring operations. Wrote automated test cases and code-review fixes that improved release stability, lowering production defects by 23% across multiple deployment cycles. Collaborated with cross-functional product and QA teams to gather requirements, prioritize fixes, and deliver 18+ enhancements within tight release windows. Troubleshot performance bottlenecks in legacy services and improved query efficiency, reducing average response times by 30% on high-traffic endpoints.