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Sri Lakshmi Parvathi Allu

@srilakshmiparvathial

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Data Engineer specializing in cloud data platforms, ETL/ELT, and scalable pipeline design.

United States

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What I'm looking for

I seek a role designing scalable cloud data platforms and pipelines, with emphasis on ETL/ELT, team collaboration, CI/CD, strong data governance, and opportunities to lead complex migrations and improve analytics performance.

I am an experienced Data Engineer focused on designing scalable cloud-native data platforms, ETL/ELT pipelines, and data warehouses to deliver reliable, high-performance analytics. I have built streaming and batch solutions using Snowflake, Redshift, BigQuery, AWS services, Apache Spark, Kafka, and Airflow to improve processing speeds and enable self-service analytics.

I led migrations and lakehouse implementations that cut processing times and costs, developed real-time pipelines for healthcare and logistics with strict compliance controls, and mentored junior engineers while implementing CI/CD and data governance best practices.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Baylor Scott & White Health

Feb 2024 - Present (1 year 8 months)

Designed and implemented scalable Snowflake-based medallion architecture data pipelines using SQL, Python, and PySpark, improving data processing speeds by 40% and reducing retrieval times by 50%. Integrated EHR and external sources, enforced HIPAA-compliant data governance, and delivered dashboards and ML integrations for patient analytics.

Snowflake Python SQL Pyspark Apache Airflow Apache Kafka AWS S3 Lambda Athena Data Modeling HIPAA)HIPAA

Data Engineer

Pacific Western Bank

May 2021 - Jan 2023 (1 year 8 months)

Developed ETL pipelines and a cloud data lakehouse on AWS (S3, Glue, Redshift, Athena) to unify financial transaction data, reducing report generation time by 60% and lowering infrastructure costs through automation and CI/CD practices.

AWS Glue Redshift)S3 Apache NiFi Apache Kafka SQL Python Apache Airflow CI CD Redshift

Data Engineer

FedEx Express

Jan 2019 - May 2021 (2 years 4 months)

Built and optimized ETL pipelines and real-time streaming solutions (Apache Flink, Kafka) for logistics and vaccine/PPE tracking, achieving 99% on-time delivery for critical shipments and improving analytics for shipping operations.

Apache Flink Apache Kafka AWS S3 Lambda Apache Spark Python SQL Redshift)Data Warehousing Tableau Redshift

Education

Degrees, certifications, and relevant coursework

Texas Tech University

Master of Science, Computer & Information Science

Activities and societies: Developed MPI-based distributed matrix processing system; built web-based job search assistant; designed wireless network analysis tool; created course registration query agent; completed aerial computing simulations.

Master's degree in Computer & Information Science with coursework and projects focused on distributed processing, big data, and machine learning.