Data Engineer, SQL, Python, Tableau, PowerBI

Samagna Pullagura

+1-214-***-****; **********@*****.***

https://www.linkedin.com/in/samagna-pullagura

EDUCATION

The University of Texas at Dallas Dec 2022

M.S. Information Technology and Management (Deans Scholarship) GPA 3.72 VNR Vignana Jyothi Institute of Engineering and Technology Aug 2018 B.Tech. Mechanical Engineering GPA 3.90

TECHNICAL SKILLS

Programming Languages: SQL, Linux, Python, Java, HTML, CSS, and JavaScript Machine Learning Skills: Linear Regressing models, Hypothesis testing, Predictive and Statistical analysis. Tools and Platforms: AWS services, ETL, Data modeling, Data Architecture, Data Management, Microsoft Excel, Microsoft Azure using SQL, MS SQL, R-Studio, MYSQL, SQ Lite, Jupyter notebook, Hadoop, Hive, Tableau, SQL server management console, Quicksight. BUSINESS EXPERIENCE

AT&T, Dallas, TX Jun 2022 – Present

Data Engineer

• Proactively collaborated with the operations team to identify and execute potential improvements which simplified the whole administration process and made it more efficient.

• Delivered solutions to complex data problems analytics teams had using extensive deep-diving techniques.

• Performed Data processing and cleaning using Pandas and NumPy packages in Python.

• Built BI dashboards to perform data analysis and extract insights on key performance indicators of customer transactions and forecast future spending patterns.

• Gained proficiency in the general understanding of LINUX commands.

• Worked on Anaconda python environment with Python libraries like Streamlit to perform calculations and create a UI dashboard.

Amazon, Hyderabad, Telangana, India May 2017 – Jan 2020 Data Engineer/Analyst

• Design and implementation of solutions for data storage, monitoring, development, Support, and optimization of infrastructure.

• Supporting On Call ad-hoc requests to resolve various customer requirements.

• Proficient with AWS services like S3, Quick Sight, IAM, and AWS Lambda.

• Identified complex business problems and generated data engineering solutions using Amazon’s internal tools to suggest solutions in close collaboration with customers.

• Built AWS Quicksight dashboards to provide insights for both merchants and customers for each marketplace.

• Actively participated in Agile methodologies like sprint planning, story refinement, roadmap planning, and retrospectives.

• Analyzed database reporting needs and turn them into powerful SQL queries that will extract data and compile it into meaningful reports, improving 90% of productivity.

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