About
Throughout my journey as an SAP BODS Developer, I've been driven by a clear purpose: data should empower businesses, not complicate them. At the intersection of data migration and quality management, I focus on simplifying complex data processes to ensure seamless transitions and reliable insights.
Currently, I'm working as Data Migration Consultant at TCS, focusing on optimizing data migration processes for seamless system transitions. I specialize in leveraging SAP Data Services and the Legacy Transfer Migration Cockpit to enhance data quality and accessibility. Prior to TCS, I gained valuable experience at Capgemini, on diverse projects that honed my skills in ETL processes and data migration. My dedication to helping organizations harness the power of data has driven me to deliver effective solutions for informed decision-making.
Experience
Sep 2024 — Present
SAP BODS Consultant • TCS
Currently working on a greenfield implementation project for Austria client. Responsible for data migration and conversion tasks, ensuring seamless integration of legacy data into the new SAP environment. Utilizing SAP BODS and LTMC to drive efficient data extraction, transformation, and loading processes. Collaborating with cross-functional teams to ensure data accuracy and successful implementation of the migration strategy.
Apr 2021 — Sep 2024
SAP BODS Developer • Capgemini
Successfully completed 2 Go-Live projects, ensuring smooth transitions and Implementation. Assisted senior developers in the development and testing of SAP BODS conversion jobs, gaining hands-on experience in data extraction, transformation, and loading techniques. Conducted data validation and quality checks to ensure adherence to established standards using custom profiling rules in Information Steward. Prepared relevancy, preload and Post load reports required for migration process. Worked on DEV, QA , Pre- Production and Production loads and fixing defects raised on HP ALM tool. Conducted performance tuning and troubleshooting to enhance data processing efficiency and minimize system downtimes. Participated in scrum meeting, contributed ideas for process improvements, and assisted in documentation efforts.
Projects
Data Migration with SAP BODS - Udemy Course - Work in Progress
Unlock the power of SAP BODS for seamless data migration with my comprehensive Udemy course. Dive deep into the fundamentals of data migration, from ECC to S4 HANA, and master the tools and techniques to elevate your skills. Meanwhile, explore more insights on my blog: rahultanwar.hashnode.dev
Azure Data Engineering Project
The project aims to develop a robust data pipeline that ingests JSON files from Azure Blob Storage, processes the data into CSV format, performs necessary data cleaning operations, and visualizes business metrics using Tableau. The project will leverage Azure Data Factory for orchestrating data movement and Azure Databricks for data transformation and cleaning.
Yelp.com Data Extractor
Developed an automated solution using UiPath to extract and process data from Yelp.com for various geographic locations. The bot was designed to collect structured data, transform it into a predefined format based on client requirements, and deliver the final output via automated email to the client. This project significantly streamlined the data extraction and delivery process, enhancing operational efficiency.
Mac OS Clock
A simple clock website developed using HTML, CSS, and JavaScript. The website displays the current time in a user-friendly interface and provides basic functionalities such as time updating and customization options.
Suicides Data Analysis
Analyze the dataset of suicides in India during 2001–2012. Perform ETL process in Azure Data Factory. Stored the resulted Dataset in SQL server and performed different types of queries to find out trends of our dataset.
Get In Touch
Get In Touch
Looking to chat? Feel free to DM me on Telegram - the fastest way to reach out to me!
Coded in Visual Studio Code. Built with Next.js, Tailwind CSS and Shadcn/ui, deployed with Netlify.