Data Analyst Power Bi

VAMSI KRISHNA MARINENI Location: Wisconsin, USA

Linkedln Email: ************.********@*****.*** Mobile: 612-***-**** INTRODUCTION

Skilled Data Analyst and Data Engineer with 5+ years of experience in data processing, analytics, and pipeline development leveraging Python, SQL, ETL tools, Power BI, ADF, and Spark. Power BI Certified – Associate, with a strong background in optimizing data workflows and delivering actionable insights. Eager to take on advanced challenges in data science to drive innovation and business growth.

EXPERIENCE

The Kardo Group Milwaukee, USA

Data Analyst Intern August 2023 - Present

• Developed and optimized end-to-end data pipelines using SQL and Python (Pandas, NumPy, scikit-learn) to clean, validate, and standardize large datasets for high-quality business analysis.

• Built and maintained interactive Power BI dashboards visualizing product performance and operational KPIs, enabling product teams to make informed decisions and monitor key metrics.

• Performed advanced exploratory and behavioural analytics using Google Analytics and SAS, detecting hidden trends in user engagement and aligning product strategies with market needs.

• Collaborated cross-functionally during Agile sprints using JIRA, contributing to product design decisions and aligning data insights with development goals.

• Documented analytical frameworks, transformation logic, and dashboard functionality to promote reusability and improve internal reporting standards.

• Created metadata documentation for datasets used across projects, improving transparency and enabling faster understanding for downstream users.

• Analysed data completeness, quality issues, and anomalies, implementing data validation rules that reduced reporting inconsistencies by 30%

Genie Lamp Pvt Ltd Hyderabad, India

Data Analyst March 2021-December 2022

• Developed Python-based automation scripts for extracting and transforming over 500GB of raw data monthly from multiple systems, maintaining <2% error rate and enhancing data availability.

• Conducted thorough SQL-based data profiling and cleansing, uncovering and resolving inconsistencies that previously affected decision accuracy.

• Designed and implemented Power BI dashboards with drilldowns and slicers for operational metrics, saving over 12 hours/month in manual reporting time.

• Translated high-level business problems into clearly defined KPIs, producing visualizations that improved strategic clarity for non-technical stakeholders. Facilitated stakeholder engagement sessions to prioritize reporting needs and deliver customized insights aligned with evolving operational goals.

• Built a structured knowledge repository including business logic, metric definitions, and ETL notes to promote long-term analytics maturity.

• Applied data enrichment and transformation logic to raw datasets, significantly increasing their usability for downstream trend analysis and forecasting models.

Genesis7 Solutions Hyderabad, India

Data Engineer December 2019-February 2021

• Architected and deployed Apache Kafka-based streaming solutions handling over 1 million real-time records per day, supporting operational dashboards and alert systems with minimal latency.

• Created and managed complex ETL workflows in Azure Data Factory, improving pipeline reliability and increasing throughput by 40%.

• Leveraged Apache Spark in Databricks to execute large-scale batch and streaming data transformations, improving customer data quality and segmentation accuracy by 25%.

• Implemented infrastructure automation using Kubernetes, reducing downtime and scaling ETL services seamlessly to accommodate increasing data volume.

• Drafted and maintained detailed architectural and technical documentation, ensuring transparency, faster onboarding, and regulatory compliance.

• Built data validation and exception handling mechanisms in ADF and Databricks pipelines, which helped detect and resolve schema mismatches early in the data flow.

• Partnered with business analysts to understand evolving requirements, aligning technical solutions with user needs and enabling faster feedback loops for iterative improvements. ACHIVEMENTS

• Coordinated multiple projects simultaneously, resulting in successful completion of 98% of project on time.

• Organized company sponsored volunteer events, raising over $10000 for local charities.

• Solved 50+ Computer Science problems as Chegg Subject Expert with 98% accuracy rating. SKILLS

Programming: Python, Java, JavaScript, C, C++, SQL, PL/SQL, HTML, CSS, Data Structures, PySpark, Snowflake Tools: Google Cloud Platform, Power BI, Tableau, Azure Data Factory (ADF), Azure Databricks, Microsoft Azure, JIRA, Git Databases: MongoDB, SQL Server, MySQL, Azure Data Lake Core: Data Modelling and Visualization, Data Mining, Big Data Processing, Object-Oriented Programming (OOP), JVM Architecture, Cloud Computing, Collection Frameworks, Agile Methodologies, Metadata Management Machine Learning Techniques: Classification, Regression, Clustering, Pattern Recognition Others: Microsoft Excel, Apache Kafka, Kubernetes, REST APIs, Statistical Analysis EDUCATION

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

Contact this candidate