Leading all Looker engineering teams (~200), responsible for serving and evolving Looker BI & AI platform and infrastructure on all clouds and on-prem. Building AI-powered Data Intelligence and the magic of conversational analytics using Looker Semantic Layer (LookML).

Leading international organization of multi-talented engineers (800+) responsible for:- All of Atlassian Cloud Infrastructure: Compute, Network, Storage PaaS on top of AWS- Development Platform: from local dev to CI/CD to production deployments, DevOps- Production Management tooling: Provisioning, Capacity Management, Observability, Incident Management- Analytical Data Platform: data lake, data ingestion/ETL/modeling/transformation tooling and frameworks as well as the query layer, data discovery, data compliance & quality- AI/ML Platform, Measurement & Experimentation, Metrics- Company-wide Insights and Dashboards (Reliability, Cost of Capacity, S&C, Developer Productivity)- Production engineering in the form of dedicated SRE as well as CRE

Leading international organization (150+) responsible for Uber Storage & Search & Cache PaaS as well as all Observability solutions, SRE/CRE functions and overarching Reliability function. This includes:- the evolution of on-prem and cloud infrastructure, multi-cloud strategy- distributed data storage, cache and search platforms, including multi-cloud stateful container orchestration solution- monitoring & alerting frameworks. - telemetry solutions, all built in-house (M3 metrics, Sawmill logging, Jaeger tracing, system events)- unified Observability experience (dashboards, telemetry insights and correlation, refinement). Operational metrics platform for all of Uber (Reliability, Performance, Developer Velocity)- incident/on-call management tools- test & deployment frameworksTechnologies: Java, Go, Python, Cassandra, MySQL, Redis, ElasticSearch, Lucene, Spark, Flink, Kafka, Jaeger, M3/M3DB, Clickhouse, AWS: S3, DynamoDBTransformed disjoint stateful infrastructure teams into a high-performant and aligned organization united by strong mission and product portfolio.

Built Data Platform Engineering organization from scratch (60+), providing Data-As-A-Service for the whole organization which included:- streaming "single-source-of-truth" pipeline for clickstream and transactional data sources. Exactly-once processing, rules driven data ingestion, translation, schema and quality guarantees as well as anomaly detection. The framework was similar to Google's Dataflow model published at the same time.- various batch job management frameworks: deduplication, locking and failure handling mechanisms, scheduling, generic script executors etc- data catalog & governance solution for the whole company- A/B testing ML framework for statistical evaluation of the experiments on the site/mobile app- messaging infrastructure- mobile/web log collection and forwarding infrastructureTechnologies: Java, Python, Spark, Storm, Hadoop, Avro, Json, Parquet, Kafka, Redis, ElasticSearch, MySQL, Apache Artemis (ActiveMQ), Logstash

Built engineering organization responsible for design/development of distributed data storage platform and web applications for Online Marketplace, Catalog/Inventory/Order Management Systems as well as Data Analytics/BI tools in big data paradigm. New OLTP and OLAP solutions were created to support multi-million items catalog and provided integration with the legacy store systems.Technologies: : LAMJ, MySQL, DB2, Hadoop, Hive, Pig, Java, Python, MongoDB, Solr, InfiniDB, TokuDB

Led a team of senior engineers focused on software development for all areas of Netflix DVD Operations: Inventory Management, Receiving, Replenishment, Order Fulfillment, Inventory QC, USPS data exchange etc. ML-powered DVD Quality Control process.Technologies: Oracle 9i/10G, PL/SQL, Java, Tomcat, mysql, JSP, XSQL, shell

Key role player in designing and developing solutions for various in-house systems: Fulfillment, Order Management, Inventory Management. Worked on multiple business areas: DVD Rentals, Customer Service tools, Pharmacy/Photo services etc.Technologies: Oracle 8i/9i, PL/SQL, Java, Perl, shell

Technologies: Oracle 8, PL/SQL, C, Pascal, shell, SCO Unix, Solaris, Veritas File System, Netware, NFS

Technologies: C, Lisp, Pascal, Fortran, Oracle 7.3