Balaji J.

Throughout my career, I have delivered major data-driven results using technology and strategies for multiple large enterprises and startups. My specialty is leading complicated programs with competing priorities that enable swift business decision-making and building/scaling engineering and platform teams. WHAT DO I BRING? ⭐️ ✔️ Proven track record in Data Engineering, Data Platform, Business Intelligence, and Machine Learning ✔️ Developing and executing on data roadmaps that enable rapid decision-making and operational efficiency ✔️ Ability to build and professionally develop high-performance Data teams ✔️ Focus on improving business performance by developing tools to improve data quality, reliability and accessibility MY CAREER PROGRESSION: 🎯 ❖ Started my career at MicroStrategy, learned a lot about the data landscape and how customers leverage their data platforms. ❖ I began career in Engineering management as a Senior Manager at Electronic Arts (EA) ❖ Since then, I have received multiple promotions and new work experiences that led me to become the Director of Data Engineering at Dropbox ❖ Currently, I am building Dropbox’s Data Engineering practice and standardizing Engineering practices across the whole enterprise SELECTED ACCOMPLISHMENTS: 🏆 📌 Building the Data Engineering practice from the ground up as a dedicated function at Dropbox by developing new business processes and benchmarks, and hiring 15+ Data Engineers in one year, resulting in achieving the Aim Higher culture award 📌 Implementing methodologies that enable easy development and training, and allow the operationalizing of machine learning models while processing data from 700M+ users, resulting in increasing ARR by several million dollars, reducing churn by 10%+, and improving conversion rate by over 25% 📌 Re-architecting Dropbox’s data logging, ingestion, storage, and processing systems, resulting in improving both platform and data reliability by 5X and reducing the number of SEVs from 10+ to less than two 📌 Implementing new data monitoring framework and tools to track 200+ data pipelines, which helps the data teams reduce KTLO by 30%, reduce pipeline problems by 50%+, and improve data quality SKILLS: ⚙️ Data Engineering | Data Science | Business Intelligence | Data Infrastructure | Data Models | Data Pipelines | Data Warehousing | Project Management | System Reliability | Data Telemetry | Machine Learning | Data Lineage | SQL | Python | AWS | Azure | Hadoop | Hive | HDFS | Snowflake | Airflow | Tableau | Superset