- Started as data engineer building high-throughout streaming and batch data pipelines with Java, Scala, Kafka, Spark, Airflow, Hive, Presto, AWS, ScyllaDB, Cassandra, Elasticsearch, MongoDB and various flavors of SQL. Tech tools also include Git, Maven, Stonebranch Universal Automation Center (UAC), Datadog, Splunk, Spinnaker, Jenkins, Postman. - Transitioned into leader of a high-performing engineering team to build Expedia Group’s mission-critical clickstream data pipeline and related plethora of clickstream data products powering numerous downstream business processes that deliver high value to the business. - Work closely with product managers and developing productive partnership with cross-functional teams to chart and execute engineering roadmap aligning with product and business vision. - Manage team projects by adopting an agile approach, prioritizing multiple projects with varying complexity and deadlines, breaking down the barrier between Product and Engineering, proactively identifying blockers, reaching out to external teams to find win-win solutions, and closely collaborating with product managers to continuously deliver value to the business.- Established and championed best engineering practices to significantly ensure the high-throughput pipeline's resilience, availability, scalability and data quality. Fostered open, transparent, collaborative team culture and coaching team members to grow their career.

- Versatile, multi-talented and experienced developer with a reputation for quick ramp-up, ease of picking up new technology, and being creative and adventurous with exploring new technical areas. - Analytical, innovative, productive and proactive in finding technical solutions to complex business problems. - Well-versed in Microsoft data integration tools, SQL server database tuning, Transact-SQL query optimization, data warehouse design and development, Windows PowerShell scripting, Windows Batch scripting, XML mapping and data analysis. - Proficient in Java development and big data batch and stream processing (Spark, Kafka, Hive, Scala).

- Innovative, highly analytical and customer-focused data warehouse engineer. - Extensive and in-depth knowledge of the full data warehouse process flow ranging from backend ETL system design to frontend BI solution delivery and customer engagement. - Rich hands-on experience with various ETL and BI applications. Highly conversant working with relational database. Advanced SQL skills.- Successful project management experiences.