Pavani Birudavolu

Data Engineer

Hyderabad, Telangana, India9 yrs 11 mos experience
Highly Stable

Key Highlights

  • Experienced in building data pipelines and ETL processes.
  • Proficient in Google Cloud Platform and data engineering tools.
  • Strong background in software development and data management.
Stackforce AI infers this person is a Data Engineer with expertise in cloud-based data solutions and ETL processes.

Contact

LinkedIn

Skills

Core Skills

Data EngineeringGoogle Cloud Platform (gcp)Etl ToolsC++

Other Skills

SQLExtractTransformLoad (ETL)Data ModelingData PipelinesPython (Programming Language)Google BigQuerySalesforce.comGoogle Kubernetes Engine (GKE)KubernetesApache AirflowGitNoSQLContinuous Integration and Continuous Delivery (CI/CD)

Experience

9 yrs 11 mos
Total Experience
3 yrs 7 mos
Average Tenure
2 yrs 8 mos
Current Experience

Confluent

Data Engineer 2

Oct 2023 – Present · 2 yrs 7 mos · Remote

SQLExtractTransformLoad (ETL)Data ModelingData Pipelines+15

Franklin templeton

5 roles

Lead Data Engineer

Promoted

Jul 2021 – Sep 2023 · 2 yrs 2 mos

Software Engineer - Data

Promoted

Dec 2020 – Jun 2021 · 6 mos

ExtractTransformLoad (ETL)PL/SQLData PipelinesShell Scripting+10

Associate Software Engineer

Promoted

Aug 2018 – Nov 2020 · 2 yrs 3 mos

Assistant Software Engineer

Promoted

Jun 2017 – Jul 2018 · 1 yr 1 mo

Graduate Trainee (Technology)

Jul 2016 – May 2017 · 10 mos

Tata consultancy services

Intern

Dec 2015 – May 2016 · 5 mos

  • Developed C++ socket programs in UNIX environment for optimizing Random Access Channel (RACH) parameters.

Education

Georgia Institute of Technology

Master of Science — Machine Learning & Computing Systems

Jan 2023 – Jan 2025

Indian School of Business

Technology Entrepreneurship Programme — Product Design and Entrepreneurship

Jan 2014 – Mar 2016

VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)

Bachelor of Technology (BTech) — Computer Science and Engineering

Jan 2012 – Jan 2016

Stackforce found 100+ more professionals with Data Engineering & Google Cloud Platform (gcp)

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