Senior Data Engineer with 6+ years of experience designing and delivering production-grade data pipelines, ETL frameworks, and warehousing solutions in large-scale IT environments.
At Tata Consultancy Services, I engineer robust PL/SQL-based data pipelines serving enterprise clients, ensuring high availability, data integrity, and optimized query performance across complex relational schemas. My work directly supports business-critical reporting and analytics workflows.
Earlier at Cognizant, I contributed to end-to-end data engineering projects — from ingestion and transformation to warehousing — working across cross-functional teams to deliver scalable, maintainable data infrastructure.
Core expertise:
→ Languages & Query: PL/SQL, Python, SQL
→ Big Data & Streaming: Py-Spark
→ Data Engineering: ETL/ELT pipelines, data warehousing, schema design, data modelling
→ Environments: Oracle DB, relational databases, enterprise IT systems
I'm open to Senior Data Engineer opportunities where I can architect pipelines at scale and drive data quality across the organisation.
Contact details — on requestProof of Work — on request
Experience
PL/SQL Developer
Tata Consultancy Services · May 2022 – Present
Not yet confirmed
Senior Data Engineer / PL/SQL Developer
Tata Consultancy Services · Full-time · May 2022 – Present · Pune, India
Engineered and maintained enterprise-grade PL/SQL data pipelines processing high-volume transactional data, reducing query execution time and ensuring 99%+ data accuracy for downstream reporting systems.
Designed and optimised complex stored procedures, functions, and triggers in Oracle DB to support ETL workflows, enabling reliable data movement across staging, transformation, and warehouse layers.
Collaborated with business analysts and application teams to translate data requirements into scalable database schemas, data models, and pipeline logic for client-facing analytics platforms.
Performed root-cause analysis on pipeline failures, implemented automated monitoring checkpoints, and cut incident resolution time by standardising error-handling frameworks across the data layer.
Data Engineer
Tata Consultancy Services · May 2022 – Present
Not yet confirmed
Data Engineer with migration work : Worked on migration of Oracle PL-SQL based application to Azure cloud.
Databricks Developer: Migrated all PG-SQL components to databricks and created ETL pipelines and databricks jobs.
Programming Analyst
Cognizant · Oct 2019 – May 2022
Not yet confirmed
Data Engineer (Programming Analyst)
Cognizant · Full-time · Jan 2021 – May 2022 · Bengaluru, India
Built and maintained ETL pipelines for data ingestion, cleansing, and transformation across relational database systems, ensuring consistent data availability for analytics and reporting teams.
Wrote optimised SQL and PL/SQL scripts to extract, validate, and load structured data into data warehouse targets, meeting SLA requirements for batch processing cycles.
Worked within Agile delivery teams to identify data quality issues early in the pipeline lifecycle, reducing downstream defects and improving overall data reliability.
Contributed to the design and development of data ingestion frameworks using SQL-based transformation logic, supporting structured data flow from source systems to centralised repositories.
Assisted in data modelling exercises and schema design to support analytical use cases, improving query performance and enabling scalable data access patterns for reporting tools.
Gained hands-on experience with ETL processes, database performance tuning, and end-to-end data pipeline delivery within enterprise IT delivery environments.
Engineered complete Oracle object suite (stored procedures, packages, triggers, functions, indexes, views, materialised views) powering Core Loan Banking and BCRM applications serving thousands of daily users.
Automated high-volume data ingestion using SQL*Loader and shell scripts to load, validate, and transform flat-file data into partitioned Oracle master tables — eliminating manual data entry and reducing load errors.
Delivered business-critical regulatory changes with zero downtime, including COVID-19 Moratorium enhancements directly impacting loan disbursement workflows — completed on tight regulatory deadlines.
Owned automated reporting infrastructure generating Daily, Weekly, Monthly, and Yearly reports for customer data applications via Autosys-scheduled batch jobs, sustaining defined SLAs with no missed cycles.
Executed Oracle 11g → 19c database upgrade, validating PL/SQL object compatibility, package integrity, and Autosys job stability post-migration with no production regressions.
Maintained zero production data-integrity incidents by performing ETL validation, code reviews, and documentation across staging, transformation, and reporting layers throughout the engagement.
Skills 0 proven through work
Also works with
API Caching ImplementationData Synchronization Pipeline DesignUnique ID ManagementDatabase Index StrategyDeployment Verification AutomationOracle Database AdministrationLegacy System MigrationRoot Cause AnalysisApplication Performance OptimizationDatabase Trigger DevelopmentStored Procedure DevelopmentDependency ManagementData Architecture DesignProcess ImprovementCode ConversionData TransformationApplication DeploymentData ValidationSystem TestingCluster ManagementAmazon S3Secure Data HandlingUnit TestingRegression TestingAgile MethodologyTeam LeadershipPrototypingWork Planning and PrioritizationCost EstimationPresentation DesignData Backup ManagementEmail Correspondence ManagementSFTP File Transfer ManagementAzure Data Lake UsageProduction Environment SupportStakeholder Communication AdaptationAnalytical Report CreationETL Pipeline DevelopmentData MigrationDatabricks UsageQuery WritingData EngineeringPL/SQL Programming
Proof of Work
Proof of Work
Prakash shares this with people who ask. You'll hear back either way.
Education
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT · 2015 — 2019
Bachelor of Technology, Electrical and Electronics Engineering