Harshvardhen Rameshbabu

Consultant

Salem, Tamil Nadu, India4 yrs experience

Highly Stable

Key Highlights

Expert in cloud data transformation and migration.
Proven track record in data quality and validation frameworks.
Strong collaboration with cross-functional teams for successful project delivery.

Stackforce AI infers this person is a Cloud Data Engineer with expertise in data migration and quality assurance.

Contact

Skills

Core Skills

Data EngineeringCloud MigrationData QualityWeb DevelopmentBackend DevelopmentFrontend DevelopmentData Analysis

Other Skills

SnowflakeUnixSQLDataStageData Quality FrameworkShell ScriptingSyntaxSpring BootVue.jsMySQLPython (Programming Language)React.jsFlaskPythonHigh Performance Computing (HPC)

About

Data professional with experience spanning both data analysis and data engineering, currently working on large-scale cloud data transformation initiatives. Hands-on in Oracle-to-Snowflake migration projects, converting complex IBM DataStage ETL logic into Snowflake-executable SQL within enterprise frameworks, and building automated data ingestion, archival, and historical data processing solutions using Snowflake, SQL, Python, and Unix. Strong focus on data validation, profiling, data quality, and metadata-driven frameworks to ensure accurate, analysis-ready datasets. Experienced in developing monitoring dashboards and operational views to track data health and performance. Actively collaborates with cross-functional teams during QA, UAT, and requirement refinement, with a strong emphasis on automation, governance, and delivering reliable insights from complex enterprise data.

Experience

4 yrs

Total Experience

3 yrs 3 mos

Average Tenure

9 mos

Current Experience

Deloitte

Consultant - AI & Data

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India · Hybrid

Working on a large-scale Oracle to Snowflake cloud migration project, modernizing legacy data platforms.
Converting IBM DataStage ETL logic into optimized SQL, executed via the DICE framework developed internally on Snowflake.
Analyzing and translating complex DataStage transformation logic into Snowflake-compatible SQL while ensuring functional parity.
Manually converting and optimizing a large number of stored procedures to Snowflake where automated SnowConvert outputs required enhancement.
Designing and developing custom Snowflake stored procedures to handle looping and iterative logic not supported directly by the DICE framework.
Taking ownership of end-to-end conversion workflows, ensuring accuracy, performance, and adherence to best practices.
Actively supporting and mentoring team members in resolving complex SQL patterns, transformation logic, and performance issues.
Leading data extraction, validation, and deployment activities from Development to Production environments.
Ensuring high-quality deliveries by performing thorough testing, validation, and production readiness checks.
Created end-to-end flow diagrams for conversion processes, clearly depicting job dependencies and execution sequencing, aligned with AutoSys-driven data load orchestration.

SnowflakeUnixData EngineeringCloud Migration

Virtusa

3 roles

Engineer

Promoted

Oct 2023 – Sep 2025 · 1 yr 11 mos · Hybrid

Awarded as STAR PERFORMER of Q4-FY24 & TOP PERFORMER of FY24
Led end-to-end data archival and ingestion pipelines from Unix to Snowflake, ensuring high-performance and scalable data loads using Unix shell scripting and Snowflake COPY INTO.
Built robust validation and error-handling frameworks to improve data accuracy and enable resilient, recoverable data transfers.
Implemented automated email alerting for success, failure, and threshold breaches, improving monitoring and faster issue resolution.
Designed and implemented History Data Copy frameworks (SCD Type 1) to support both full and incremental loads while maintaining the latest state records and avoiding data duplication.
Developed metadata-driven processing to enable dynamic control of data pipelines and reduce maintenance overhead.
Created an automated DDL export and import framework for PROD to NON-PROD migrations at database, schema, and table levels.
Built an Excel-based UI integrated with Snowflake using public/private key authentication to trigger stored procedures and simplify schema migrations.
Contributed to Enterprise Data Catalog (EDC) initiatives by developing source-to-target mappings, performing source-to-target validations using Informatica IICS, and implementing custom data lineage in Metadex.
Developed a Data Quality Check Framework using Snowpark, implementing checks for NULLs, duplicates, timestamps, reference integrity, and compliance, with automated scheduling and audit tracking across data layers.
Supported KYC Controls & Metrics QA and UAT, collaborating with stakeholders to ensure requirement clarity, quality standards, and smooth SDLC integration.

Data Quality FrameworkSnowflakeData QualityData Engineering

Associate Engineer

May 2022 – Sep 2023 · 1 yr 4 mos · Hybrid

Developed a Vue.js–based Task Assignment System to streamline task allocation and improve operational efficiency.
Designed and implemented RESTful APIs using Spring Boot to support seamless frontend–backend communication and scalable application architecture.
Optimised the MySQL database schema and queries for an educational institution management system, enhancing data retrieval performance and system reliability.

SyntaxSpring BootWeb DevelopmentBackend Development

Intern-Technology

Jun 2021 – Mar 2022 · 9 mos · Chennai, Tamil Nadu, India · Remote

Developed a React.js dashboard for real-time API performance monitoring, enabling proactive identification of system issues and downtime risks.
Built predictive models using historical datasets to enhance forecasting accuracy and support data-driven decision-making.
Automated performance monitoring workflows, improving system stability and reducing manual intervention.
Integrated Flask-based backend services for seamless communication between frontend and APIs, improving overall application responsiveness.
Designed a custom gauge visualization for server load monitoring, enhancing clarity and user experience.
Implemented automated alert notifications to detect anomalies early and prevent data loss incidents.

SQLPython (Programming Language)Frontend DevelopmentData Analysis