Pathaneni Gangothri
@pathanenigangothri
Data Engineer building scalable Azure/AWS data pipelines with PySpark, SQL, and lakehouse reliability.
What I'm looking for
I’m a Data Engineer with 3.5+ years of experience designing, building, and optimizing scalable data pipelines and ETL/ELT workflows using PySpark, SQL, and Azure Databricks. I focus on high-volume batch processing and near real-time pipelines, with performance tuning and reliability as non-negotiables.
At Accenture, I processed 10M+ records daily, improved Spark job performance by 25%, and migrated 40+ ADF pipelines to Databricks—reducing execution time by 30%. I build and support lakehouse architectures with ADLS and Databricks, deliver production-grade SQL transformations, and ensure data quality through validation, governance, and monitoring across the full pipeline lifecycle.
Experience
Work history, roles, and key accomplishments
Processed 10M+ records daily using PySpark pipelines in Databricks and improved Spark job performance by 25% through partitioning and caching. Migrated 40+ ADF pipelines to Databricks, reducing execution time by 30%, and built lakehouse-based ETL/ELT workflows with robust orchestration, logging, and data quality validation.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science, Hyderabad
Master of Science, Data Science and Artificial Intelligence
2025 -
Currently pursuing an MSc in Data Science and Artificial Intelligence at BITS Hyderabad (Aug 2025–Aug 2027) alongside full-time work.
Bhavans Vivekananda College
Bachelor's degree, Mathematics, Statistics, Computer Science
2019 - 2022
Grade: CGPA 9.78
Completed a Bachelor's degree with focus in Mathematics, Statistics, and Computer Science at Bhavans Vivekananda College (Jun 2019–Jul 2022), achieving CGPA 9.78.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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