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Vishnupriya S

@vishnupriyas1

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Data Analyst | SQL · Power BI · Snowflake | ETL Pipelines & Data Quality | Hitachi Digital Services | Open to Work

India

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What I'm looking for

I’m looking for a role where I can build reliable ETL/ELT pipelines, improve data quality, and deliver analytics dashboards using SQL, Python, and Power BI—working closely with business teams to turn requirements into actionable insights.

I’m a Data Analyst with 1+ year of experience supporting enterprise analytics and ETL solutions, turning business requirements into data-driven insights. At Hitachi Digital Services, I built and maintained Apache NiFi ETL/ELT workflows, using Python-based automation for data transformation, cleaning, validation, and pipeline monitoring.

I’ve also migrated legacy Pentaho (Kettle) pipelines to NiFi to improve reliability and maintainability, and I configured Dockerized Presto UI to enable cross-database querying across Snowflake and PostgreSQL. I bring strong analytics capabilities with SQL, Python (Pandas/NumPy), and Power BI (DAX, dashboard design), and I enjoy delivering dashboards that clearly communicate sales and customer trends.

Experience

Work history, roles, and key accomplishments

Associate Data Engineer

Hitachi Digital Services

Apr 2025 - Nov 2025 (7 months)

Built and maintained Apache NiFi ETL/ELT workflows for real-time and batch processing, improving data quality and reducing manual effort. Migrated legacy Pentaho pipelines to NiFi and added validation, error-handling, and monitoring; also configured Dockerized Presto UI for cross-database querying.

Apache NiFi ETL ELT Python data transformation Data Cleaning Data Validation Error Handling Data Quality Analysis Pentaho Docker Presto Snowflake PostgreSQL Data Reconciliation Workflow Automation

ETL & Data Analyst Intern

Hitachi Digital Services

Sep 2024 - Mar 2025 (6 months)

Supported ETL execution and data reporting by scheduling Informatica PowerCenter jobs and writing complex SQL to extract, clean, validate, and analyze data for business insights. Monitored Stonebranch batch schedules and tested an internal Data Accelerator tool by documenting output inconsistencies.