Data Analyst Power Bi

VAMSI KRISHNA MARINENI

Milwaukee, Wisconsin ************.********@*****.*** 1-612-***-**** Linkedln INTRODUCTION

Experienced Data Analyst and Data Engineer with 5+ years of expertise in data processing, analysis and pipeline development using python, SQL, ETL tools, Power BI, ADF and PySpark. Power BI Certified – Associate seeking new challenges in data science. WORK EXPERIENCE

Data Analyst, Genie Lamp Pvt Ltd Mar 2021-Dec 2022

• Gathered and integrated data from APIs, web scraping and other sources, ensuring data integrity, designed and automated ETL processes using python, reduce data processing time by 35% and optimizing workflow efficiency.

• Conducted detailed data analysis with SQL for data extraction and python for cleaning and transformation, extracting valuable insights that resulted in 20% increase in actionable findings for stakeholders.

• Created and deployed dynamic Power BI dashboards to visualize tenure and headcount growth, incorporated key performance indicators to facilitate real-time monitoring.

• The dashboard included Interactive Filters and Drilldowns capabilities, providing deeper insights at granular levels. Communicated data insights effectively through storytelling, improving decision making speed by 25% by highlighting key trends.

Data Engineer, Genesis7 Solutions Dec 2019-Feb 2021

• Implemented Apache Kafka to stream user event data from the e-commerce website into pipeline, ensuring continuous and reliable data flow for real-time processing.

• Leveraged Azure Data Factory to automate the ETL pipeline, built complex data transformation workflows in ADF to clean, enrich and aggregate data before into azure data lake, improving data pipeline efficiency by 40%.

• Integrated Databricks for processing high volumes of data in real-time, enabling dynamic CRM (customer- relationship management) increasing accuracy by 25%.

• Managed the data pipeline infrastructure using Kubernetes, ensuring efficient scaling and high availability. This significantly reduce manual intervention, improved decision-making and laid foundation for future data-driven innovations.

Associate software Engineer, Accenture June 2018-Nov 2019

• Engineered a real-time order tracking microservice using RESTful APIs to ingest and process product and order status data, ensuring low-latency updates.

• Developed backend data processing modules in Python to transform complex JSON data into optimized, structured formats, improving performance and reducing latency.

• Collaborated on designing a scalable software architecture using microservices principles, ensuring high availability and fault tolerance in cloud environments.

• Implemented seamless API integrations for real-time communication, ensuring data consistency, security, and efficient error handling.

Associate Software Intern, Neo Rise Feb 2018-May 2018

• Developed a Python tool for sentiment analysis using data mining techniques, analyzing large datasets of social media posts to identify public sentiment trends on specific topics and visualizing insights for decision-making.

• Utilized techniques to extract sentiment patterns from social media, providing insights into public opinion trends. SKILLS

Programming: Python, java, JavaScript, Data structures, CSS, SQL, PLSQL, Snow flake, DBMS, HTML, C, C++, pyspark. Tools & Technologies: Google Cloud, Tableau, Power BI, ADF, Databricks Concepts: Data modeling and visualization, Data mining, Machine learning techniques (classification, regression, and clustering), JVM Architecture, Cloud Computing, Microsoft Excel, Big Data, Operating Systems (OS), Object oriented programming concepts (OOPs), Collection Frameworks, Artificial Intelligence, Kafka, Kubernetes.

EDUCATION

Indiana Wesleyan University IWU- Florence Education Center Jan 2023- Aug 2024 Master of Science in Data Analytics and Project Management (Specialization in Data Science) Related coursework: Data Management and Business Process Modeling, Big Data Analytics with Cloud Computing, Data Mining and Business Intelligence, Predictive Modeling, Statistics in Business Analytics, Business Decision Modeling, Visual Analytics

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