A Data analyst with 13 years of experience with audience measurement and reporting✦ Proficient in SQL, Data analysis, and visualization✦ Experience with Big data processing in on-premise (Cloudera) and cloud platform (AWS)✦ A detail-oriented data enthusiast, with a passion for identifying data issues✦ Proficient in data collection, cleaning using Python pandas, and deriving meaningful actionable insights✦ Good working experience with query optimization techniques such as predicate pushdown, projection pruning, partition pruning, join reordering, etc✦ A Critical thinker with good communication skills to convey the story behind the complex data findings through visualization using tools like Excel, Google Sheets, Apache Superset, Tableau, etc✦ Instrumental in collecting and presenting clear insights from massive datasets in data lake and assisting leadership teams with critical, data-driven decisions✦ Effectively led a DevOps team, QA & Test automation team guiding them to 100+ successful releases✦ Successfully operated as a servant leader in a Scrum Master role using Agile methodologies, for a cross-functional, geographically diverse team✦ Good at identifying complex impediments, helping resolve them efficiently, and coaching the team on continuous improvement✦ Operated as a Crisis Management Lead to prepare and co-ordinate Business continuity plans for my client's offshore delivery centersNoteable works:✨️ Measurement of major high traffic events like NFL Thursday night football, superbowl, MLB, FIFA worldcup, and many more✨️ Nielsen content and ad measurement integration with Major streaming services (Netflix, Amazon Prime Video, Twitch, TikTok, YouTube, etc.)✨️ Played an Instrumental role in ensuring the data quality of some of Nielsen's major projects like Digital TV Ratings, Digital Content Ratings, Cross-platform Ratings, Digital Ad Ratings, Nielsen One, etc