VENKATA VISWANATH CHITTILLA

Bloomington, Indiana Email: ad3ciw@r.postjobfree.com Phone: +1-812****** https://www.linkedin.com/in/venkata-viswanath-chittilla/ EDUCATION

Indiana University Bloomington, United States. Aug 2022 - Present MS in Computer Science. – GPA: 3.73

Coursework: Big data Applications, Advanced Database Concepts, Applied Algorithms, Computer Networks, Information Visualization. SASTRA Deemed to be University, TamilNadu, India.

Bachelor of Technology, Computer Science and Engineering. - CGPA: 8.41 / 10 Jul 2015 – Aug 2019 TECHNICAL SKILLS

o Languages and Frameworks: Python, SQL, CSS, Bootstrap, NodeJS and ExpressJS. o Cloud Computing: Databricks, Azure stack: Synapse Analytics, Purview, Data Factory and pipelines, Key Vault, Microsoft Fabric, Azure Networking, ARM templates, Cosmos DB. o Databases and DBMS: MySQL, SQLite3, PostgreSQL, Mongo DB. o Platforms: Linux, Windows.

o Tools: Git, Splunk, PowerBI

o Other areas: Data Engineering, Data Governance, Software Engineering, Delta Lake, Data Mining, Computer Networking. WORK EXPERIENCE

MICROSOFT, Bangalore, India (Full-time) Aug 2019 – Jul 2022 Azure Bigdata Engineer – Azure Rapid Response team o Azure Databricks: Streamlined data processing workflows by leveraging PySpark within Azure Databricks, optimizing data processing efficiency by 20% and aligning with strategic business objectives. Helped the customers transition and setup their Azure Databricks architecture.

o ETL: Implemented Azure cloud services for seamless data movement with Azure Data Factory, reducing data processing time by 30% and increasing data quality and accuracy for ETL/ELT processes. Employed a variety of data storage solutions, including Azure Data Lakes, Data Warehouses, and both relational SQL databases and non-relational Cosmos DB database when building data pipelines as per need. o Streamlined customer issue resolution process for Microsoft's top 500 Azure Rapid Response (ARR) customers, troubleshooting Azure platform and code-related challenges. Achieved a 40% decrease in average response time, ensuring uninterrupted data transformation projects and cloud services operation.

o Played a pivotal role in mentoring new hires by offering technical expertise and guidance, ensuring successful integration into the Microsoft Azure Databricks team; resulted in a 30% decrease in onboarding time and increased overall team efficiency by 25%.

Achievements: Received the prestigious “Architects of Excellence (ACE)–Culture & Values Champ” Award for FY22 cycle. MICROSOFT - Intern: Apr 2019 - Jun 2019

o Initiated in-depth exploration of Microsoft's on-premises and cloud service offerings during internship, transitioning to a full-time role on the Azure Big Data team; applied acquired knowledge to drive tangible results. SASTRA Technology Business Incubator - Intern: Dec 2018 - Mar 2019 o Engineered an Electronic-Nose for “Real-time Air Quality monitoring" using Arduino board and diverse sensors, collecting data across environments. Curated a dataset, achieving over 90% classification accuracy with new environmental inputs. o Leveraged knowledge in Python, Pandas, Machine Learning, Scikit learn, Data Collection, Data Transformation, Sensors, Arduino. Certifications

o Microsoft Certified – Azure and Azure AI Fundamentals. o Microsoft Certified – Azure Data Engineer Associate. o Microsoft Certified PowerBI Data Analyst Associate. o Databricks Certified – Spark 3.0 Developer Associate. o Databricks Certified – Data Engineer Associate. o Databricks Certified - Azure Platform Architect. PROJECTS

Personal Website: https://venkataviswanath.github.io/viswa-portfolio/ (for additional information and projects) o Project Asvins – Patient Insurance Management System: Lead a team of 5 to design Project Asvins which is a web platform hub for all things healthcare. The goal of Asvins is to organize resources for patients, doctors, and insurance agencies so that they can access everything they need right in one place. Setup the entire backend infrastructure and codebase for this project. Utilized: MongoDB, NodeJS, ExpressJS, GIT.

o PowerBI Data Analysis on Product sales: Led the implementation of Power BI for data analysis of product sales, resulting in interactive dashboards with key metrics, customer segmentation, and accurate forecasting which Enabled informed decision-making. Utilized: Data Modeling, PowerBI, Data Analysis.

o Employee Churn prediction: Spearheaded an innovative Employee Churn prediction project, applying machine learning techniques and diverse classifiers. Achieved remarkable accuracy rates of approximately 80%, curbing workforce attrition. Utilized: Python, Pandas, Data Preprocessing, Machine Learning, Scikit learn, Artificial Neural Networks. o News hash tagger: Developed and implemented a real-time hashtag recommendation system utilizing NLP techniques to extract key phrases, achieving a 40% increase in article-to-hashtag mapping accuracy for efficient high-coverage social tagging of news articles.

Utilized: Python, Pandas, Natural Language Processing, Machine Learning, Apache Spark, Spark Streaming. LEADERSHIP AND INVOLVEMENT

o Top voice in LinkedIn for Data Engineering, Cloud Computing and Database Administration. o Collaborated with corporate sponsors to secure $3K in funding for 'Save The Children", and "HelpAge India" to improve the lives of marginalized communities.

o Galvanized the “Giving Campaign” chapter at Microsoft, driving a team of 25 volunteers to engage in fundraising efforts through a range of creative events, ultimately generating $10k in support for individuals facing challenging circumstances.