Data Analyst | Data Engineer

BigData Development College Station, Texas, United States

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Summary

Pursuing MS in Management Information Systems at Texas A&M University and actively looking for full-time roles in Data Analytics and Data Engineering. Analytical, innovative, detail-oriented data professional with more than 3 years of experience in the retail industry. Working for Target as a data engineer honed my interest in data and analytics. I have worked with cross-functional teams to build data solutions and address business problems. I have worked on building certified enterprise foundation datasets that served as the single source of truth for all pricing data. I have used SQL and Spark extensively to build pipelines that process data within the mentioned SLA to ensure that it is available to downstream teams promptly and handle gigabytes of data while reducing processing time by 60%. I have helped with data sourcing in a variety of forms, data wrangling for downstream teams, and data democratization.
I strongly believe information and insights have the power to communicate. Understanding the distinction between data and information is critical, but even more so comprehending the business necessity to effectively utilize insights. Analyzing data and comprehending business needs have always piqued my attention, and thanks to my experience as a data engineer, I have had the opportunity to do both.
Skills
Languages: Python, HiveQL, SQL, Scala
Databases : MySQL, PostgreSQL
Big Data : Hadoop, Spark, Hive, Oozie, Sqoop
Tools & Frameworks : Git, Postman, Apache Kafka, RESTful API
Certifications:
Introduction to Data Science in Python
Exploratory Data Analysis in SQL
Importing and Cleaning data
Pandas Foundation
Business data in SQL
Introduction to Pyspark