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priyance_31

Priyanka Kumari

@priyance_31

Software Engineer

India
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I am a Software Engineer with 6 years of experience specializing in IBM InfoSphere DataStage, Unix Shell Scripting, and SQL Server. I have a proven track record of designing ETL workflows and managing data validation pipelines within the banking and technology sectors to ensure high data accuracy and automation.... Lee más

Habilidades

p
priyance_31
Priyanka Kumari
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

ETL de datos
I will build etl and data pipelines
DeUSD 1,300 / proyectoMás información

Experiencia laboral

Tata_Consultancy Services

Data engineer

Tata Consultancy Services

Jun 2022 - Present • 4 yrs 2 mos

* Worked as a Data Engineer, designing and maintaining end-to-end data pipelines for enterprise applications. * Developed and optimized ETL processes using IBM InfoSphere DataStage to transform, validate, and load data from multiple source systems. * Managed large-scale data processing and transformation for high-volume datasets while ensuring data quality and integrity. * Monitored and maintained data workflows, resolving production issues and improving pipeline performance. * Collaborated with cross-functional teams to understand business requirements and deliver reliable data solutions. * Wrote and optimized SQL queries for data extraction, validation, and reporting. * Worked in Unix/Linux environments to automate data processing and support ETL operations. * Ensured smooth end-to-end data flow from source systems to the data warehouse with minimal downtime. Skills: Data Engineering, ETL, IBM DataStage, SQL, Data Warehousing, Unix/Linux, Data Transformation, Data Pipeline Development, Data Integration, Performance Optimization, azure data factory pipeline and azure data ricks.

IBM

Data Engineer

IBM • Tiempo completo

Sep 2018 - Jun 2022 • 3 yrs 9 mos

Developed ETL solutions for internal IBM projects, ensuring timely delivery of clean and structured data. Managed data validation pipelines, implemented business logic, and participated in solution design. Contributed to reusable components for performance optimization and followed ETL best practices.