Help & Supportcareers@gravityer.com
Data Engineer with 6+ years in ETL & Cloud Data Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Engineer with 5+ years of experience designing scalable ETL pipelines, building cloud-based data solutions, and managing large-scale production environments in BFSI and telecom sectors. Proven expertise in Talend, Snowflake, SQL, and data integration. Strong track record in incident management, performance optimization, automation, and cross-functional collaboration. Committed to delivering high-quality, reliable, and secure data systems aligned with business needs.
Vidyalankar Institute of Technology
Bachelor of Engineering · Computer Science
August 1, 2018 – June 30, 2018
R.K. Talreja College, Ulhasnagar
HSC
June 1, 2014 – May 31, 2014
Bhausaheb Paranjape Vidyalaya, Ambernath
SSC
June 1, 2012 – May 31, 2012
Tata Consultancy Services (TCS)
IT Analyst – Data Engineer
April 1, 2024 – Present
India
TechnoGenix IT Consultancy Services
Sr. Software Engineer – Data Engineer
August 1, 2023 – March 1, 2024
India
Net Business Solutions India Ltd.
Production Support Engineer
January 1, 2022 – July 1, 2023
India
One97 Communications (Paytm)
Associate - Operations & Data Support
November 1, 2019 – December 1, 2021
India
Cultural Fit Analysis
The candidate's experience across multiple companies (TCS, TechnoGenix, Net Business Solutions, Paytm) and sectors (BFSI, telecom) suggests adaptability and a broad understanding of different organizational cultures. Their focus on automation, performance, and data quality improvement indicates a proactive and results-oriented mindset. The diverse project exposure and continuous learning implied by working with various technologies (Talend, Snowflake, multiple databases) suggest a good cultural fit for dynamic and evolving data engineering environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, particularly in troubleshooting and incident resolution for distributed systems. Their experience in cross-functional collaboration with product, QA, and business teams indicates good communication and teamwork abilities. The focus on automation, performance optimization, and data quality improvement aligns well with operational excellence.