Engineering Intern Data Engineer

NARSIMHA REDDY PASHAM

Frisco, Texas P: (***) *** - 2538 *****************@*****.***

EDUCATION

Valparaiso University, Valparaiso, Indiana, USA Jan 2022 – May 2023 Masters in Analytics & Modelling GPA: 3.5/4.0

Coursework: Data Mining and Applications, Statistics for Decision Making, Data Analysis, Artificial Intelligence, Information Management, Time Series Analysis and Scientific Visualization. Vishwa Vishwani School of Business (Hyderabad, Telangana, India) Aug 2017 – June 2020 Bachelor of Business Administration, Finance Specialization Coursework: Financial Analysis and Reporting, Investment and Portfolio Management, Corporate Finance, Financial Modelling and Forecasting.

TECHNICAL SKILLS

• Languages: Python and MySQL

• Frameworks and Web Technologies: Apache Spark, Apache Kafka, Apache Airflow, TensorFlow, PyTorch, Talend, Informatica, and Apache NiFi.

• Databases: MySQL, SQL Server and MongoDB

• Tools: Docker, Jenkins and Git.

• Visualization: PowerBI, Tableau and Python libraries.

• Database Cloud Tools: AWS S3, Amazon EMR, Amazon Redshift, Amazon RDS, Amazon DynamoDB, Amazon Kinesis and AWS Glue.

WORK EXPERIENCE

Tekgigz LLC Frisco, Texas

Role: Data Engineering Intern Jan 2022 - Present

• Assisted with the development of data ingestion pipelines, collecting and parsing data from various sources including databases, APIs, flat files, and streaming platforms.

• Worked closely with data analysts and data scientists to clean, structure, and format data for downstream applications and analytics.

• Participated in data integration efforts to consolidate data from disparate sources, providing a unified view of the data to end-users.

• Developed and maintained code for data pipelines, ETL processes, and data transformation scripts using the programming language Python.

• Contributed to the creation of data visualization and reports to communicate insights from data by using python libraries like pandas, numpy, matplotlib and scipy.

• Participated in regular team meetings and provided updates on project progress and challenges.

• Demonstrated a commitment to continued learning and growth in the field of data engineering by staying up to date on industry trends and attending relevant training or events. Technologic Solutions Pvt Ltd Pune, India

Role: Junior Data Engineer Aug 2020 – Oct 2021

• Developed and maintained data pipelines using Apache Spark, Apache Kafka, and/or Apache Airflow, ensuring efficient and reliable data transfer and processing.

• Worked with large-scale distributed computing systems such as Hadoop and/or Amazon Web Services (AWS) to store, manage, and process big data.

• Designed and implemented ETL processes using tools such as Talend, Informatica, or Apache NiFi, transforming and integrating data from various sources.

• Created and maintained data models using SQL and/or NoSQL databases such as Oracle, MySQL, MongoDB, or Cassandra.

• Utilized DevOps tools such as Jenkins, Git, and Docker to automate deployment and testing of data pipelines and infrastructure.

• Collaborated with data scientists to provide them with the necessary data infrastructure and tools to perform machine learning and AI tasks, utilizing frameworks such as TensorFlow, PyTorch.

• Developed and maintained data visualization dashboards using tools such as Tableau, Power BI to communicate insights from data to stakeholders.

• Participated in agile development processes, working in sprints to meet project deadlines and deliverables.

• Conducted performance tuning and optimization of data pipelines and infrastructure, using tools such as Apache Arrow to improve query performance.

• Contributed to the documentation of data engineering processes and best practices, as well as the creation of training materials for new hires.

• Stayed up to date with emerging trends and technologies in the field of data engineering, attending conferences and webinars, and sharing knowledge with team members. UNIVERSITY PROJECTS

Investor Perception of Investment Avenues

• Conducted a study on "Investor Perception of Investment Avenues" as part of the Financial Analysis and Reporting course in the Finance Specialization. Designed and administered surveys, analyzed data using statistical methods, and presented findings to the class.

Contact this candidate