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Suresh Babu Bodduluri

@sureshbabubodduluri

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I build scalable cloud data pipelines for analytics and AI-ready solutions.

Germany

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What I'm looking for

I'm looking to build modern, scalable, AI-ready data solutions that support analytics, machine learning, and LLM applications.

I've built ETL/ELT pipelines and cloud data solutions for Infotel India, Xoriant Solutions, Sai Systems Technology, Impetus Solutions, Artha Solutions, and AnalytixDS. My work includes Talend-based data processing, AWS and Snowflake solutions, cloud migrations, and integration across databases, APIs, and CSV sources.

Across e-commerce, banking, and healthcare, I develop scalable data pipelines, Snowflake data models, validation workflows, and reporting solutions. I'm also expanding into AI data engineering, including Generative AI, RAG, LangChain, AI agents, vector databases, Docker, Kubernetes, and MCP.

Experience

Work history, roles, and key accomplishments

Senior Software Data Engineer

Infotel India Pvt. Ltd.| Xoriant Solutions Pvt. Ltd.

Jan 2022 - Dec 2025 (3 years 11 months)

Developed ETL/ELT pipelines with Talend for data processing, built cloud data solutions with AWS and Snowflake, and migrated from MS SQL Server to cloud systems. Integrated data from various sources and automated ETL processes with TAC.

Talend AWS Snowflake ETL ELT SQL MS SQL Server TAC Agile Scrum

Associate Data Consultant Engineer

Sai Systems Technology | Impetus Solutions

Nov 2019 - Jan 2022 (2 years 2 months)

Developing ETL/ELT pipelines with Matillion for data integration from AWS S3
Implementing ETL workflows with Talend based on SQL logic (batch and historical jobs)
Building data models in Snowflake for reporting and analytics
Performing data validations and tests, as well as supporting data migrations within the team

Software Developer & Data Warehousing

Artha Solutions | AnalytixDS

Apr 2015 - Mar 2019 (3 years 11 months)

Development and optimization of ETL processes (Talend, SSIS) as well as building scalable data pipelines for real-time and batch processing.
Working on data warehouse projects, including data reconciliation, validation, and implementing business rules.
Creating automated Power BI reports and KPI dashboards for evaluating operational data.