Sai Mounika Nedunuri
Data Engineer | PySpark | AWS & Azure | Automation Enthusiast
- Role
- Data Engineer at Capgemini
- Location
- Hyderabad, IN
- LinkedIn followers
- 500 followers
About Sai Mounika Nedunuri
3.6 years of relevant experience | Azure & AWS Data Engineer | Remote-Ready |…
Experience
Data Engineer
Oct 2021 — Present · Hyderabad, IN
Takeda• Developed scripts to compute KPI values and implemented SCD Type 1 and Type 2 methodologies to optimize dataevaluation, enhancing business performance insights.• Conducted technical requirement meetings, resulting in a 40% increase in client satisfaction.• Generated a customized script which is used to trigger all the Notebooks with workflows which saved up to on workload demands and improving the logging and troubleshooting capabilities. This is mastered by parameterization,logging.• PySpark, Python, SQL, Spark, Databricks, AWS, S3, Delta, PostgreSQLMicrosoft• Streamlined data orchestration by building and maintaining ADF pipelines, reducing manual intervention by 40%.• Enhanced large-scale data management using Synapse Analytics and ADLS Gen2, achieving a 25% gain in efficiency.• Accelerated processing workflows by 30% through data cleaning and transformation in Databricks using PySpark.• Boosted system integration by 20% by creating Azure Function Apps and utilizing REST APIs for CRUD operations.• Elevated data transparency by 35% through robust metadata tracking using Azure Purview for governance.• ADF, Synapse, ADLS Gen2, Databricks, PySpark, Azure Function Apps, REST APIs, Azure PurviewJohnson & Johnson• Lowered storage expenditure by 30% by implementing effective retention policies within AWS S3.• Optimized query execution times by 20% by converting CSV files to Parquet format.• Enhanced data pipeline speed by 25% using PySpark on EC2 for transformation, cleaning, and schema validation.performing data cleaning, transformation, and schema evaluation on EC2 using PySpark.• AWS S3, PySpark, EC2, Redshift Spectrum, ParquetEquans• Updated PySpark transformation logic in the Code Repository, leading to a 30% boost in runtime efficiency.• Ensured data traceability and quicker issue resolution by managing end-to-end lineage in Foundry.• Palantir Foundry, PySpark, Code Repository
Education
Pragathi School - India
Middle School Diploma
Trinity model scondary school
High School Diploma
Jyothishmathi institute of technology and science
Bachelor of Technology - BTech, Computer science and engineering
2014 — 2018
Trinity Junior College
Intermediate, Mathematics
2012 — 2014
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