Data Engineer with 8+ years in ETL development, data pipeline architecture, and production support.
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Assessing your cultural and operational fit
Data Engineering professional with 8+ years specializing in ETL development, data pipeline architecture, and production support across banking and insurance. Expert in SQL, Unix scripting, and AWS. Reduced report delivery time by 40% and incidents by 25% through automation and process optimization.
Thapar University, Patiala
Master of Science · Mathematics
August 1, 2015 – June 30, 2017
Delhi University, Delhi
Bachelor of Science · Mathematics
August 1, 2011 – June 30, 2014
Infosys
Team Leader
April 1, 2023 – January 1, 2026
Bengaluru, Karnataka, India
Canara HSBC Life Insurance
Team Leader
July 1, 2022 – April 1, 2023
Gurgaon, Haryana, India
Infosys
Technology Analyst
June 1, 2021 – July 1, 2022
Pune, Maharashtra, India
Infosys
Senior System Engineer
January 1, 2018 – June 1, 2021
Pune, Maharashtra, India
Cultural Fit Analysis
The candidate's experience across different companies (Infosys, Canara HSBC Life Insurance) and diverse projects (banking, insurance, risk management) indicates adaptability and a broad exposure to various organizational cultures and business domains. Their leadership roles and involvement in data governance suggest a collaborative and responsible approach, which aligns well with a culture that values teamwork and accountability. The emphasis on automation and process improvement also points to a proactive and efficiency-driven mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills, evidenced by leading production support teams and coordinating cross-functional teams. Their experience in incident resolution, root cause analysis, and implementing preventive controls highlights a proactive and problem-solving operational fit. The focus on process automation and knowledge management indicates an ability to improve efficiency and foster team growth. The candidate's experience in data governance and compliance also suggests a strong understanding of operational best practices in regulated environments.