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Nitesh Prakash

Data Analyst | SQL | PL/SQL | Financial Data Systems | 12+ Years | High-Volume Data (Millions of Records)

Greater Calgary Metropolitan Area

12+ years of work experience

PUNJAB NATIONAL BANK
Apr 20233 yrs 2 mosPresent

Haridwar

• Analyze high-volume transactional data (millions of records) to identify trends, anomalies, and performance issues. • Extract and process structured datasets using SQL/PL-SQL to support reporting, validation, and operational insights. • Perform root cause analysis (RCA) on transaction failures using data-driven diagnostics. • Lead data reconciliation and validation processes to ensure data accuracy across financial systems. • Optimize SQL queries to improve system performance and reduce processing delays. • Monitor operational KPIs and analyze data to support business decision-making and process improvements. • Work with high-volume datasets in mission-critical environments to support analytical and operational use cases. • Collaborate with cross-functional teams to ensure data consistency, integrity, and system reliability.
PUNJAB NATIONAL BANK
Jul 20166 yrs 9 mosMar 2023

Bengaluru

• Supported national-level RTGS/NEFT systems processing high-volume real-time financial transactions (millions/day). • Performed SQL/PL-SQL-based data analysis to identify transaction failures and system bottlenecks. • Conducted data validation and reconciliation across integrated banking and payment systems. • Played a key role in Finacle CBS upgrade (v7 to v10) through data validation and system analysis. • Analyzed system data during disaster recovery (DR) drills to ensure performance and reliability. • Collaborated with cross-functional teams to maintain data integrity and system stability.
Sopra Steria
Oct 20132 yrs 8 mosMay 2016

Noida

• Developed and optimized SQL queries, stored procedures, and database objects for enterprise applications. • Performed data extraction, transformation, and validation across backend systems. • Improved performance using query tuning, indexing, and execution plan analysis. • Supported reporting and analytics workflows using structured datasets. • Identified data inconsistencies and improved data quality across systems.

Nitesh’s AI Stack

aistudio
aistudio
cursor
cursor
github copilot
github copilot
openai
openai

Education

Master of Business Administration, Data Science and Business Analytics

DY Patil University Online

20243 yrs2027
DIT University

Bachelor of Technology - BTech, Computer Science

DIT University

20094 yrs2013

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Headline

Data Analyst | SQL | PL/SQL | Financial Data Systems | 12+ Years | High-Volume Data (Millions of Records)

About

I work with data at scale — millions of records in mission-critical systems. With 12+ years of experience across financial and transactional environments, I specialize in SQL and PL/SQL for data extraction, validation, and performance analysis. My work has focused on identifying patterns, diagnosing anomalies, and supporting data-driven decision-making in high-availability systems. I have hands-on experience with large-scale financial systems including Core Banking (CBS), RTGS/NEFT platforms, and enterprise data workflows. This has given me strong exposure to high-volume data processing, data reconciliation, and root cause analysis (RCA). What I bring: • Strong SQL and data analysis skills • Experience with high-volume datasets (millions of records) • Ability to translate data into actionable insights • Structured problem-solving and analytical thinking I am currently focused on transitioning into dedicated Data Analyst roles and exploring opportunities. If you’re working on data problems, analytics, or building data-driven systems, I’d be happy to connect and exchange insights.

Location

Greater Calgary Metropolitan Area

AI stack

aistudio

cursor

github copilot

openai

Work experience

Manager at PUNJAB NATIONAL BANK, Apr 2023 - Present · 3 yrs 2 mos, Haridwar, • Analyze high-volume transactional data (millions of records) to identify trends, anomalies, and performance issues. • Extract and process structured datasets using SQL/PL-SQL to support reporting, validation, and operational insights. • Perform root cause analysis (RCA) on transaction failures using data-driven diagnostics. • Lead data reconciliation and validation processes to ensure data accuracy across financial systems. • Optimize SQL queries to improve system performance and reduce processing delays. • Monitor operational KPIs and analyze data to support business decision-making and process improvements. • Work with high-volume datasets in mission-critical environments to support analytical and operational use cases. • Collaborate with cross-functional teams to ensure data consistency, integrity, and system reliability.

Deputy Manager at PUNJAB NATIONAL BANK, Jul 2016 - Mar 2023 · 6 yrs 9 mos, Bengaluru, • Supported national-level RTGS/NEFT systems processing high-volume real-time financial transactions (millions/day). • Performed SQL/PL-SQL-based data analysis to identify transaction failures and system bottlenecks. • Conducted data validation and reconciliation across integrated banking and payment systems. • Played a key role in Finacle CBS upgrade (v7 to v10) through data validation and system analysis. • Analyzed system data during disaster recovery (DR) drills to ensure performance and reliability. • Collaborated with cross-functional teams to maintain data integrity and system stability.

Development Engineer at Sopra Steria, Oct 2013 - May 2016 · 2 yrs 8 mos, Noida, • Developed and optimized SQL queries, stored procedures, and database objects for enterprise applications. • Performed data extraction, transformation, and validation across backend systems. • Improved performance using query tuning, indexing, and execution plan analysis. • Supported reporting and analytics workflows using structured datasets. • Identified data inconsistencies and improved data quality across systems.

Education

Master of Business Administration, Data Science and Business Analytics, DY Patil University Online

Bachelor of Technology - BTech, Computer Science, DIT University