Data Engineer

NAGENDRA BEESABATHUNI

Denton, T-***** +1-812-***-**** ************@*****.***

http://linkedin.com/in/nagendra-beesabathuni https://github.com/NagendraBeesabathuni PROFESSIONAL PROFILE

Innovative Data Engineer with 3 years of expertise in data processing, data visualization, data analysis, data mining with a strong software engineering background. Proficient in analyzing and interpreting business requirements, designing and implementing data lake projects, and utilizing sophisticated tools to perform tasks in a fast-paced environment. Adept in programming and Big Data frameworks. Data Warehousing & Integration Data Structures Data Visualizations Data Mining Data Modeling Business Intelligence Data Analysis Project Management Adaptability Performance Improvement TECHNICAL SKILLS

Python, Java, SQL, Spark, Deep Learning, Machine Learning, Hadoop, Spark Streaming, MySQL, HBase, Power BI, Tableau, Map Reduce, Kafka, GCP/Microsoft Azure, Eclipse, IntelliJ, Git. WORK EXPERIENCE

Data Engineer (Intern) Artera Services Sept. 2020 – Dec.2020

• Automated the process of data gathering, cleaning and analysis of organization data which saved 4M$.

• Designed data pipelines for analytics to provide efficient insights into performance improvement, key business performance metrics and product optimization.

• Played integral role in increasing data visibility and building dashboards to drive 2B$ in revenue which helped business leaders make informed decisions.

Data Engineer Lloyds Banking Group, Virtusa, India Jun. 2017 – Dec. 2018

• Retrieved relevant data by extracting raw data from disparate sources to develop strategic solutions for unbounded (streaming) and bounded (batch) with Spark, Kafka, HBase

• Improved accessibility and security by initiating a Data lake strategy; ensured optimum service by deploying Kafka and Flume to ingest data, using Apache Spark to transform data and loading downstream applications for reporting.

• Enhanced productivity by creating distributed data processing solutions for MiFiD Regulatory Compliance.

• Designed and implemented a Data Lake strategy to improve accessibility and security.

• Refined efficiency by migrating existing workloads to use AVRO and ORC format instead of XML and JSON which reduced storage space by 80% and running time by 40%.

• Improved effectiveness by enhancing present Spark jobs to meet the SLA of 15 minutes which minimized processing time by 60%.

Data Engineer Thomas Reuters, Virtusa, India Jun. 2016 – May 2017

• Optimized technical performance by interpreting data needs into technical system requirements; also wrote scripts and employed various analytical tools to solve complex problems.

• Efficiently utilized Hive and Pig to model pre-processing and transform data to meet business requirements; also collaborated with team members to ensure best performance.

• Developed MapReduce, Spark Jobs and Hive queries to process 500GB to 1TB of data comprising of multiple file formats.

• Facilitated the execution of projects by analyzing extensive data stores, correcting errors and proposing solutions suitable for each project.

EDUCATION

Master of Science in Computer Science Dec. 2020

University of North Texas, Texas, USA GPA: 3.5/4.0 Bachelor of Technology in Computer Science May 2016 Jawaharlal Nehru Technological University, India GPA: 3.4/4.0

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