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Meghana V Korada

@meghanavkorada

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Detail-oriented Data Engineer specializing in cloud-native solutions.

United States

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What I'm looking for

I am looking for a role that fosters growth, innovation, and collaboration in data engineering.

I am a detail-oriented Data Engineer with proven expertise in delivering scalable, cloud-native data engineering solutions for technology clients. My specialization in Azure, Snowflake, PySpark, and dbt allows me to develop robust ETL pipelines and data models that enhance performance and streamline data architecture in high-volume environments.

Currently, I work as a Jr. Data Engineer at Midh Technologies, where I led the design and development of an end-to-end ETL pipeline for a SaaS analytics platform. My efforts have improved data processing speed and reduced manual reporting by 80%. I have a strong educational background with a Master’s in Computer Science from the University of North Texas and a B.Tech in Computer Science from Gokaraju Ganga Raju Institute of Engineering and Technology.

Experience

Work history, roles, and key accomplishments

Current

Jr. Data Engineer

Current

Midh Technologies

Mar 2023 - Present (2 years 3 months)

Led the design and development of an end-to-end ETL pipeline for a SaaS analytics platform using Azure Data Factory and PySpark, automating data ingestion, transformation, and reporting. Integrated dbt for transformation layer and deployed into Snowflake, improving data processing speed and reducing manual reporting by 80%. Developed and optimized ETL pipelines using Python, PySpark, and SQL withi

Python Pyspark SQL Azure Data Factory Snowflake DBT ETL Data Modeling Performance Tuning

Teaching Assistant

University of North Texas

Aug 2023 - May 2024 (9 months)

Assisted in teaching Python, PySpark, SQL, and Azure-based data engineering courses. Conducted Python-based coding labs, helping students develop strong programming skills.

Python Pyspark SQL Azure Data Engineering Teaching Mentoring Curriculum Development

Data Analyst/Engineer Intern

Powersoft Global Solutions

Mar 2021 - Aug 2022 (1 year 5 months)

Assisted in building a multi-source data ingestion pipeline for a software service client using Azure Synapse and dbt, consolidating structured and semi-structured data from APIs and databases. Contributed to modular SQL model creation, accelerating analytics delivery by 60% and reducing ETL load times. Assisted in building ETL pipelines using Python, PySpark, and SQL in Azure Data Factory (ADF) f

Python Pyspark SQL Azure Synapse DBT Snowflake Azure Data Factory ETL Data Ingestion Data Validation

Education

Degrees, certifications, and relevant coursework

University of North Texas

Master of Science, Computer Science

Grade: 3.8/4.0

Activities and societies: Served as a Teaching Assistant, assisting in Python, PySpark, SQL, and Azure-based data engineering courses. Conducted Python-based coding labs, helping students develop strong programming skills.

Pursued a Master's degree in Computer Science, focusing on advanced topics in data engineering and cloud technologies. Gained expertise in scalable data solutions, ETL pipelines, and data modeling using Azure, Snowflake, PySpark, and dbt.

Gokaraju Ganga Raju Institute of Engineering and Technology

Bachelor of Technology, Computer Science

Grade: 80%

Completed a Bachelor of Technology in Computer Science, building a strong foundation in programming, algorithms, and data structures. Developed core skills essential for software development and data analysis.