Summary
Overview
Work History
Education
Skills
Certification
Timeline
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Spoorthi Podilapu

Summary

Results-driven data engineering professional with solid foundation in designing and maintaining scalable data systems. Expertise in developing efficient ETL processes and ensuring data accuracy, contributing to impactful business insights. Known for strong collaborative skills and ability to adapt to dynamic project requirements, delivering reliable and timely solutions.

Overview

4
4
years of professional experience
2
2
Certification

Work History

Data Engineer

Cognizant
09.2021 - Current
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
  • Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
  • Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.
  • Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
  • Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
  • Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
  • Led end-to-end implementation of multiple high-impact projects from requirements gathering through deployment and post-launch support stages.
  • Evaluated various tools, technologies, and best practices for potential adoption in the company''s data engineering processes.
  • Established robust monitoring processes to detect system anomalies.
  • Conducted extensive troubleshooting to identify root causes of issues and implement effective resolutions in a timely manner.
  • Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
  • Designed data models for complex analysis needs.
  • Streamlined ETL processes using Azure Data Factory solutions.
  • Utilized extensive knowledge of VM creation and network configuration.
  • Demonstrated proficiency in developing and managing CI/CD pipelines using Jenkins.
  • Integrated Databricks with AWS.
  • Leveraged platforms including Dataiku, Matillion, and Snowflake.

Education

Bachelor - Electronics And Communications Engineering

Gvp College of Engineering
Vishakapatnam
08.2021

Skills

  • Azure data factory
  • Azure databricks
  • ETL development
  • Spark framework
  • Data pipeline control
  • SQL programming
  • Backup and recovery
  • Data migration
  • Databricks unified analytics
  • Dataiku
  • Matillion
  • Snowflake

Certification

Microsoft certified:

Azure administration(AZ 104)

Azure fundamentals( AZ 900)

Timeline

Data Engineer

Cognizant
09.2021 - Current

Bachelor - Electronics And Communications Engineering

Gvp College of Engineering

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Spoorthi Podilapu