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@meghanavkorada
Detail-oriented Data Engineer specializing in cloud-native solutions.
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.
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Work history, roles, and key accomplishments
Midh Technologies
Mar 2023 - Present (2 years 8 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
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
Degrees, certifications, and relevant coursework
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.
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.
Software and tools used professionally
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