Summary
Overview
Work History
Education
Skills
Certification
Accomplishments
Timeline
Generic

Pranitha S

Bengaluru

Summary

Data Engineering with 3.7+ years of experience in the technology and service industry, skilled in SQL, Python, and Data Engineering. Known for blending analytical thinking with creativity to deliver impactful data-driven solutions. Eager to contribute to a progressive organization, grow professionally, and take on challenging opportunities that bring out innovative ideas and measurable results.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Data Engineering

CAPGEMINI
09.2021 - Current
  • Developed and optimized tables using SQL, PySpark, Databricks, ABCR framework, and Azure Data Factory to improve memory usage and deployment efficiency.
  • Led the GitHub deployment process, ensuring smooth table deployment from development to production, achieving 100% customer satisfaction within SLAs.
  • Delivered all assigned tasks on time, maintaining high-quality standards and contributing to the overall success of the project.
  • Collaborated with cross-functional teams, providing technical guidance and conducting problem-solving sessions to ensure alignment with business requirements.
  • Managed both hands-on technical work and leadership responsibilities, demonstrating strong individual.

Education

Bachelor of Engineering (B.E) - Electronics and Communication

Don Bosco Institute of Technology
Bengaluru, India
01.2021

Skills

  • SQL
  • Python (basics)
  • Databricks
  • PySpark (basics)
  • Azure Data Factory
  • Data engineering
  • Data migration tools
  • Data loading

Certification

  • Databricks Certified Data Engineer Associate July 31, 2024 – July 31, 2026
  • Appreciation from HP client: Recognized for consistently delivering all assigned objects on time without compromising quality or delivery standards.

Accomplishments

  • FDL Developer – HP project
  • Gained hands-on experience with new technologies including Databricks, ABCR framework, and Azure Data Factory for table development.
  • Optimized table development to reduce memory usage using Databricks, ensuring efficiency.
  • I actively participated in the deployment process, deploying tables to production via GitHub workflows.
  • Developed view tables by creating ABCR scripts from scratch using SQL and Databricks.
  • PySpark Developer (with leadership in feed development)—HP project
  • I led the migration of data to Databricks, enhancing technical knowledge in PySpark.
  • Developed and optimized Databricks jobs using Python and PySpark, fully understanding and implementing business requirements.
  • Managed the end-to-end development of the job. Resolved all tickets and provided team support, conducting knowledge transfer (KT) sessions to ensure alignment.

Timeline

Data Engineering

CAPGEMINI
09.2021 - Current

Bachelor of Engineering (B.E) - Electronics and Communication

Don Bosco Institute of Technology

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