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Data Engineer with 10+ years in Azure, Oracle & PostgreSQL Data Engineering
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Assessing your cultural and operational fit
Senior Data Engineer with 19 years of extensive expertise, designing enterprise-scale data infrastructure, transactional architectures, and ETL/ELT workflows across Retail, ERP, and Supply Chain domains. A seasoned relational database specialist in Oracle, SQL Server and PostgreSQL, currently transitioning into Azure Data Engineering with actively developed skills in Azure Data Factory, Azure Databricks, PySpark, and Python. Uniquely positioned to accelerate legacy-to-cloud modernization strategies, combining decades of deep data modelling and performance tuning maturity with modern cloud data engineering frameworks.
National Institute of Electronics & Information Technology
'A' Level
August 1, 2003 – June 30, 2003
National Institute of Electronics & Information Technology
'O' Level
August 1, 2001 – June 30, 2001
APTECH Computer Education
Higher Diploma in Software Engineering · Software Engineering
August 1, 1999 – June 30, 1999
University of Calcutta
B. Com · Commerce
N/A – Present
WB Council
Higher Secondary
N/A – Present
WB Board
Secondary
N/A – Present
Independent
Azure Data Engineering Projects (Self-Learning)
January 1, 2025 – Present
India
GINESYS
Database Engineer
July 1, 2018 – May 1, 2026
Kolkata, West Bengal, India
Ingenious Minds Consultants Pvt. Ltd.
Sr. Software Developer
April 1, 2014 – July 1, 2018
Kolkata, West Bengal, India
Gamut Infosystems Ltd. (formerly known as Matrix Infosystems Ltd.)
Software Programmer
September 1, 2009 – April 1, 2014
Kolkata, West Bengal, India
Ambuja Cements Ltd.
Project Trainee (Department: IT)
June 1, 2007 – June 1, 2009
Kolkata, West Bengal, India
OCA – Oracle PL/SQL Developer
Oracle
January 1, 2010 – Present
OCP – Oracle 9i DBA
Oracle
January 1, 2009 – Present
Cultural Fit Analysis
The candidate's background is heavily rooted in traditional on-premise database and ERP systems. While there's a clear effort to transition to cloud data engineering, the bulk of their professional experience is in a different technological paradigm. The project diversity is strong within the ERP/Retail domain, but the cloud experience is currently limited to self-learning projects. This indicates a potential fit for roles focused on modernizing legacy systems or hybrid environments, but a pure cloud-native role might require further validation of their practical cloud experience.
Soft Skills & Operational Fit
The candidate's resume indicates a strong ability to translate business requirements into technical solutions and work with business teams, suggesting good communication and collaboration skills. The self-learning initiative for Azure technologies demonstrates proactivity and adaptability. The long tenure at GINESYS (8 years) suggests loyalty and stability.