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Data Engineer with 6+ years in Data Management & Cloud Platforms
Having overall 5+ years of total software development experience. I specialized in Master data management concepts like data survivorship, Golden copy record, Exact and Fuzzy Match and Merge concepts and Data stewardship. Strong track record in L2 support, root cause analysis, deployment management, and resolving complex data discrepancies. Part of key source system data migrations into MDM. Skilled in building scalable MDM ETL pipelines, data cleansing, de-duplication, and Proven ability to deliver high-quality, business-ready data using Precisely EnterWorks, Infolink, Salesforce, and AWS. AWS Power user used to manage DMS tasks for replication of the data. Worked with Redshift, S3, Athena and other system manager tools. Data dog alerts monitoring for real time infrastructure issues and resolution. Executed PROD deployments planned and off-cycle monthly release managements. Expertise in gathering, understanding and delegating the Business requirements and implementation of Job Design. Good Team member with excellent technical, analytical skills who worked with cross functional teams and involved in multitasking roles to deliver key deliverables ontime.
Aditya Engineering College
Bachelor of Technology · Engineering
August 1, 2015 – June 30, 2019
Tata Consultancy Services (TCS)
MDM Data Specialist (Client: Thomson Reuters)
June 1, 2022 – Present
India
Capgemini India
ETL Developer (Client: Citizens Bank)
March 1, 2020 – June 1, 2022
India
Cultural Fit Analysis
The candidate has experience across two major IT services companies (TCS and Capgemini) working with different clients (Thomson Reuters, Citizens Bank), which suggests adaptability to various organizational cultures and project environments. The roles are well-aligned with a Data Engineer profile, focusing on data integration, MDM, and data warehousing. However, the project diversity is limited to financial and data services sectors, and the breadth of skills, while relevant, could be expanded to include more modern data engineering tools and platforms for a broader cultural fit in diverse tech environments.
Soft Skills & Operational Fit
The candidate's resume highlights experience in cross-functional team collaboration and multitasking, which are crucial for operational fit. The mention of L2 production support and incident resolution indicates a proactive approach to problem-solving and maintaining data integrity. The awards section also suggests strong client delivery and collaboration skills.