Martin Lam Email & Phone Number

- Grew the team from 3 people to over 12 people within a year, along with another management layer to support the Instagram Sharing Pillar. - Developed streamlined, end to end data processing process to help team understand user experience across various core IG products, including IG Stories, Messaging, Video, Explore and more. - Lead IG company wide visualization effort to up level and standardize our overall reporting mechanisms.

- Grew the Data Engineering team for FB Groups from just myself, to over 10 IC. - Developed holistic data architecture to help Groups understand user experience, from growth & retention (people joining & leaving groups), to engagement (people posting / commenting in groups), to recommendation (ML models that recommend groups based on interest), to Integrity (measuring prevalence of harmful content, tracking user reports)- Support Facebook's mission to pivot / focus on Groups / Communities as a core product feature to help connect the world. Enable team to move fast using feature rich, data backed experimentation process.

San Francisco, California, Us

Design, develop and manage the end to end information flow for our enterprise wide Analytics and Data Science system, consists of Hadoop, Hive, HBase, Impala, Microsoft SQL Server Datawarehouse, SQL Server Analysis OLAP multi dimensional cubes, SSAS Tabular cubes, SSIS (ETL), SSRS (Web reporting), Excel and Tableau. Data Science Platform provides big data processing capabilities in order to drive statistical modeling initiatives, including our Zoosk Behavior Matchmaking engine, Collaborative Filtering, Predictive Analytics, as well as our day to day operational reporting for web traffic and behavior logging. Analytics Platform provides close to real time information on mission critical users statistics, online / offline marketing campaign effectiveness, financial analysis, and other operations statistics. BI systems process hundreds of millions rows per day, and provide business insight from over 200 Terabytes of data. BI OLAP platform consists of 10 measure groups with hundreds of actionable metrics, and with over 50 dimensions for cross drill analysis.

San Francisco, California, Us

Sr. Business Intelligence Architect. Design and Implement the full MSFT BI stack, including SQL Server, SSIS, SSAS, SSRS, PerformancePoint / Proclarity, SharePoint.Enable businesses to make better insights by designing an end to end datawarehouse business intelligence solutions, using ETL tools, star schema DW, OLAP and visualization tools.

New York, Ny, Us

Led all technical efforts under consumer insights business unit in Nielson Mobile, which is responsible for all survey products for mobile industry. Technology includes Teradata Datawarehouse, SQL Server Datwarehouse (SSIS, SQL), and custom MDM (master data management) solutions.

Part of a large team to implement a large scale Oracle star schema datawarehouse in a large health insurance company. Responsibilities include functional requirements, logical design.

Worldwide, Oo

Technical consultant for Information Systems, which includes datawarehousing, BI, CRM and intranet.

Ms, Management Science Engineering

Bs, Electrical Engineering