Sachin Panda
Principal Consultant @Mercedes-Benz Research And Development India
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WORK HISTORY
Principal Consultant @Mercedes-Benz Research And Development India
Bengaluru, IN
EDUCATION
sainik school Tilaiya
High School
Gandhi Institute of Engineering and Technology (GIET), Gunupur
Computer Science and Engineering
International Institute of Information Technology Bangalore
PG Diploma in Data Science
ABOUT SACHIN PANDA
I specialize in building the high-veracity data foundations required for the next generation of Enterprise AI. Currently serving as a Principal Consultant, I lead the integration of mission-critical ERP data systems using Apache NiFi, REST APIs, and SQL Server. My mission is to transform fragmented operational data into structured, AI-ready assets.With an 11-year trajectory across Finance, Pharma, and Manufacturing, I have mastered the evolution of data: from the deep ETL logic of IBM DataStage (5 years) and Informatica to modern, cloud-native orchestration using Azure Databricks, ADF, and Google BigQuery.Strategic Focus & AI Roadmap:I am currently transitioning into a Data & AI Architect role, focusing on the intersection of Data Engineering and Generative AI. I am actively completing the Microsoft AI-102 (Azure AI Engineer Associate) certification to design architectures that don\'t just store data, but actively fuel RAG (Retrieval-Augmented Generation) and Cognitive Search capabilities.Core Technical Arsenal:• AI & Cloud Data: Azure Databricks, Azure Data Factory (ADF), Google BigQuery, Apache Airflow.• Integration & Ingestion: Apache NiFi (4+ Years), REST APIs, SQL Server (ERP Data Integration).• Legacy Modernization: Deep-logic engineering in IBM DataStage and Informatica PowerCenter.• Languages: Advanced SQL (Performance Tuning/Modeling), Python (Automation & AI Scripting).Domain Impact:• Manufacturing: Architecting real-time ingestion engines for complex ERP environments.• Retail & Pharma: Leading cloud migrations and large-scale analytics initiatives.• Finance & Insurance: Ensuring 100% data reliability in highly regulated, high-volume landscapes.My Value Proposition:I don\'t just build pipelines; I design \"Data Ecosystems.\" I understand that the success of any AI initiative depends on the quality of the data engineering behind it. I bridge the gap between \"Legacy Reality\" and \"AI Potential.\"Let’s Connect:I am actively seeking opportunities to lead Data & AI Architecture initiatives. If your organization is looking to modernize its data stack for the AI era, let’s talk.
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