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Mide User

@mideuser

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Senior Data Engineer specializing in scalable cloud ETL and real-time pipelines.

United States

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What I'm looking for

I’m seeking senior data engineering roles focused on scalable cloud ETL, real-time pipelines, and cross-team impact, preferring collaborative teams that value reliability and data-driven decisions.

I am a seasoned Data Engineer with over a decade of experience wrangling large datasets, migrating petabytes across AWS, Azure, and GCP, and building robust real-time and batch pipelines.

I design and implement scalable ETL workflows using tools like SAP BODS, Informatica, Airflow, PySpark, Kafka, Flink, and Spark, and I’ve led zero-downtime cloud migrations and cross-cloud moves.

My work drives actionable insights through clean data models and compelling dashboards built in Power BI and Tableau, and I have improved pipeline throughput and ETL performance across multiple enterprises.

I bring a pragmatic, stakeholder-focused approach to complex data challenges, a knack for performance tuning, and a collaborative mindset that keeps projects reliable and maintainable.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

NVIDIA

Jan 2023 - Present (3 years 5 months)

Led end-to-end migration of large-scale data pipelines from Azure to AWS with zero critical downtime and built scalable ETL workflows integrating SAP ECC/BW and third-party sources.

Python Pyspark Kafka Apache Airflow AWS Data Migration

Data Analyst

Morgan Stanley Capital Partners

Feb 2021 - Dec 2022 (1 year 10 months)

Transformed large-scale JSON datasets with Spark SQL into Hive/HDFS stores, automated ingestion workflows, and optimized Informatica mappings to improve ETL performance.

Hive HDFS Informatica Shell Scripting ETL

Data Engineer

Netflix

Feb 2020 - Dec 2020 (10 months)

Built ETL pipelines on GCP using Airflow and PySpark, enabled real-time analytics via Pub/Sub, and executed cross-cloud migrations from GCP to Azure.

Pyspark Apache Airflow Cloud Storage Azure Data Factory AKS

Data Engineer

Walmart Global Tech

Apr 2016 - Jul 2019 (3 years 3 months)

Developed scalable Spark applications in Scala for batch and streaming integration, implemented PL/SQL customer reports, and optimized large-scale processing using Hadoop and AWS.

Scala Spark Hadoop AWS Pl SQL Batch Processing

Data Engineer Intern

Pfizer

Aug 2015 - Mar 2016 (7 months)

Built PySpark pipelines to transform semi-structured JSON into structured Hive tables, automated Spark job execution, and refactored SQL/PLSQL into modular Informatica workflows.

Pyspark Hive Shell Scripting Informatica SQL

Education

Degrees, certifications, and relevant coursework

University of Washington Tacoma

Bachelor of Science, Information Technology

2013 - 2015

Completed a Bachelor of Science in Information Technology at University of Washington Tacoma from 2013 to 2015, focusing on applied IT and data-related coursework.