Jyothi Derangula
@jyothiderangula
Azure Data Engineer specializing in scalable retail data platforms and real-time analytics.
What I'm looking for
I am an Azure Data Engineer with 3+ years of experience building scalable retail data solutions using Azure Data Factory, Databricks (PySpark), ADLS Gen2, Synapse Analytics, and Power BI. I design and implement ETL/ELT pipelines, medallion architecture, Delta Lake tables, and CI/CD processes to deliver reliable, performant data platforms that power real-time reporting and analytics.
My work has reduced daily load times, improved data accuracy, and enabled real-time dashboards and inventory forecasting across large retail footprints. I prioritize data security, automation, and measurable business impact, and I bring hands-on expertise in Python, SQL, data modeling, and Azure-native monitoring and deployment tools.
Experience
Work history, roles, and key accomplishments
Azure Data Engineer
AIMLLabs Private Limited
Apr 2022 - Present (3 years 9 months)
Designed and implemented scalable Azure data pipelines and lakehouse solutions for retail clients, reducing daily load time from 5 hours to 2 hours and enabling real-time dashboards across 50+ stores. Built ETL/ELT processes, Delta Lake tables, and CI/CD deployments to improve data accuracy to 99% and cut manual effort by 80%.
Education
Degrees, certifications, and relevant coursework
Jawaharlal Nehru Technological University, Anantapur
Master's Degree, Computer Science
Grade: 78%
Completed a Master's degree with a 78% aggregate, focusing on advanced topics relevant to computing and data engineering.
Sri Krishnadevaraya University
Bachelor's Degree (Computer Applications), Computer Applications
Grade: 82%
Completed a Bachelor's degree in Computer Applications with an 82% aggregate, providing foundational knowledge in programming and software development.
Availability
Location
Authorized to work in
Job categories
Skills
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