Nov 2024 – Jan 2025 · 2 mos · Los Angeles, California, United States

• ➤ Migrated and optimized 50+ data pipelines, integrating new fields to support the advertising product team’s business needs while ensuring data quality and reliability through rigorous testing and CI/CD processes.
• ➤ Utilized tools and technologies such as Presto, Spark, and Hive to query, analyze, and manage large-scale datasets across Meta's internal near-monorepo architecture.
• ➤ Built and maintained workflows using internal tools such as Dataswarm (data pipelining), Daiquery (query notebooks), and iData (data cataloging and lineage visualization) to enhance discoverability, monitoring, and debugging of pipelines.
• ➤ Ensured data accuracy and integrity by leveraging Meta's internal monitoring tools, including Central Data Manager (CDM) for pipeline monitoring and Unidash for dashboarding and visualization.
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Python, SQL, Hive, Presto, VSCode | Internal Tooling: Dataswarm, Daiquery, iData, CDM, Unidash

Mar 2024 – Nov 2024 · 8 mos · Los Angeles Metropolitan Area

• ➤ Spearheaded the deployment of Airflow / MWAA to optimize data pipeline orchestration & monitoring
• ➤ Created and integrated DQ checks in Airflow orchestration utilizing Deeq & Trumpet
• ➤ Designed a RAG chatbot that pulls in Slack, Wiki, and our internal Q/A board for its knowledge base and can answer anyone’s internal questions and provide links back to the original search utilizing Bedrock, Kendra, Claude 3.5 Sonnet, and SageNotebooks
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: AWS: S3, MWAA (Airflow), EMR, EC2, Redshift, Console, Cloudwatch, Maestro (similar to Github), Bedrock, SageMaker, Kendra, Prompt Engineering, RAG

Mar 2023 – Mar 2024 · 1 yr · Los Angeles Metropolitan Area

Nov 2022 – Nov 2023 · 1 yr · Los Angeles Metropolitan Area · Remote

• ➤ Metrics Development: Steered and defined north-star metrics for Netflix’s emerging hyper-growth blogging site “TUDUM,” contributing to a 137% increase in monthly active readers within 12 months.
• ➤ Data Model Development: Developed fact and dimension models using SparkSQL, Python, and Snowflake, improving dashboard load times by 50% and reducing ETL runtime from 6 hours to 30 minutes daily.
• ➤ Custom API Integration: Developed a scalable Python-based ETL process, integrated with Cron, to efficiently extract and manage daily data from 52 podcasts via Megaphone API, enhancing data accuracy and accessibility for analytics.
• ➤ Dashboard Creation: Established Tableau dashboards that increased self-service data analysis usage by 60%, enabling teams to make faster, more informed product decisions.
• ➤ A/B Testing Leadership: Spearheaded the design of data pipelines and data models integral to the A/B testing framework. Focused on evaluating various UX layout configurations for top stories, significantly increasing the number of pages read in a session by 15%.
• ➤ Negotiation and Collaboration: Play a pivotal role in cross-departmental negotiations, adeptly balancing the technical and product teams' needs with executive business directives to ensure project alignment.
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Apache Spark · Hive · Trino · GitHub · Python · Spark SQL · Tableau (Desktop, Server) · Snowflake

Feb 2022 – Nov 2022 · 9 mos · Santa Monica, California, United States

• ➤ As an Analytics Engineering Manager, I built, led, and managed a team of 5 remote analytics engineers to deliver game-critical analytics for Call of Duty by collaborating with the telemetry team to get data from Call of Duty to our data lake, create data pipelines, manage ETL processes, and design dashboards to fuel decision making and experimentation.
• ➤ Converted team from Waterfall to Agile processes leading to increased productivity, finer prioritization, and more cross-functional collaboration.
• ➤ Designing documentation and processes that standardize common practices such as SQL Code Style Guides, Entity Relationship Diagrams (ERDs) of our data lake, Exploratory Data Analysis Guide, How to Create Data Pipeline Utilizing Github + Python + AirFlow.
• ➤ Drive innovation and collaboration by hosting weekly Mob Programming sessions with my team.
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: JIRA · Confluence · LucidChart · Workday · SAP Concur · Github · Amundsen · Agile (Scrums, Kanban, Retrospectives, Code Reviews, Mob/Peer Programming)

Feb 2022 – Nov 2022 · 9 mos · Santa Monica, California, United States

• ➤ As a Lead Analytics Engineer, I implement and oversee data pipeline ETLs and Tableau dashboarding projects to data-driven creative decision-making across the Call of Duty franchise.
• ➤ Analyses include DAUs, ARPDAUs, monetization, engagement, in-game weapon balancing, skill-based matchmaking, etc.
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Tableau (Desktop, Server, Prep) · Databricks · dbt · Google Cloud Platform (GCP) · Apache Spark · Astronomer (Apache AirFlow) · GitHub · CoreViz · Python (PySpark, Pandas, Matplotlib) · Spark SQL · Jinja · YAML

Jul 2020 – Feb 2022 · 1 yr 7 mos · Los Angeles, California, United States

• ➤ Lead operational reporting analytics for the bespoke PlayStation 5 console release
• ➤ Managed and lead dashboard development in the Operational Reporting Team (ORT) utilizing DOMO
• ➤ Presented dashboards and reporting to various end users such as C-Suite, VPs, and Directors
• ➤ Collaborated with Product teams in defining project requirements, delivery, and iterations
• ➤ Collaborated with Data Engineering team to create, test, and optimize data pipelines
• ➤ Collaborated with UX to make critical design choices while staying within brand guidelines
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: DOMO, Tableau, AWS (EC2, RDS, IAM, S3, Athena), Apache AirFlow, DBVisualizer, GitHub, JIRA

Jan 2020 – May 2021 · 1 yr 4 mos · Los Angeles, California, United States

• ➤ Led student teams in identifying data sources, performing data cleaning, completing analysis to extract the story behind the data, and building visualizations for all project work
• ➤ Mentored students on Data Science topics along with job search, resume, and LinkedIn optimization
• ➤ Guided office hour discussion, educational coding activities, and lectures for a class of 30 Continuing Education Professionals.
• ➤ Partnered with Trilogy Education Services to provide the greatest learning experience for students
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Advanced Excel, VBA, Python, D3.js, Leaflet.js, API Interactions, Web Scraping, Data Mining, Task Automation, SQL, Tableau, Advanced Statistics, Machine Learning, Big Data, R, and Git/GitHub

Dec 2019 – Jul 2020 · 7 mos · Culver City, California, United States

• ➤ Collaborated with all 7 departments (Operations, Technology, Production, etc.) in Nike’s Global Brand Imaging team to gather business requirements and build automated Tableau dashboards that fuel data-driven decision making
• ➤ Led the extract, transform, and load (ETL) process on Redshift, Teradata, Box, and various excel sheets using SQL, Tableau Prep and Alteryx
• ➤ Designed Tableau dashboards to fit Nike brand guidelines
• ➤ Managed Tableau Server and all working Tableau Server dashboards
• ➤ Optimized the speed and accuracy of data models and pipelines to ensure timely and correct information presented in real-time dashboards
• ➤ Mentored and taught other Nike users Tableau to streamlining reporting and create real-time dashboards
• ➤ Designed and manufactured Standard Operating Procedures (SOP) models in Lucid Chart to easily visualize how to do tasks or explain processes
• ➤ Utilized AirTable as a project management tool to seamlessly communicate my on-going projects and priorities to the Data Analytics manager and other stakeholders
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Tableau (Prep, Desktop, Server), AWS Redshift, Teradata, Python (scikitlearn, scipy, pandas, numpy), Alteryx, AirTable, Excel, Lucid Chart

Jul 2019 – Oct 2019 · 3 mos · Long Beach, California, United States

• ➤ Built, published, and scheduled customized interactive dashboards utilizing the Tableau Suite
• ➤ Developed Tableau dashboards to perform YoY, QoQ, MoM, YTD, QTD, and MTD sales analysis
• ➤ Performed Extraction, Transformation, and Loading (ETL) on 6+ data sources in Tableau Prep
• ➤ Automated monthly excel reports into Tableau Dashboards accessible via Tableau Server
• ➤ Designed dashboards using Filters, Parameters and Action Filters to improve UX/UI
• ➤ Gathered user requirements, analyzed, and designed dashboards based on the requirements
• ➤ Collaborated with the DBAs to understand the underlying data schema
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Tableau (Desktop, Server, Prep), Alteryx, Microsoft SQL Server, SQL Server Management, SAP, Salesforce, Excel, JIRA

Oct 2018 – Present · 7 yrs 7 mos · Remote

• Clients: Google, Netflix, American Express, Bath & Body Works, Chevron, Beckman Coulter, Microfocus, ModMed, YUM! Brands, Delta Dental, Rubrik, NetApp, Docusign, DOMO, Harbor Global, Keesal & Young Propulsion Labs

Oct 2017 – Jul 2018 · 9 mos · Burbank, California, United States

• ➤ Monitored social media conversations on upcoming Warner Brothers Picture films (i.e. Justice League, Ready Player One, Crazy Rich Asians, The Nun, Ocean’s 8, etc.) using Crimson Hexagon, Tubular, and Google Trends to report on themes, sentiment, demographics, and other KPI’s
• ➤ Lead and managed a team of four people for weekly reporting for “Life of the Party” (a Warner Brothers film)
• ➤ Created and presented weekly/monthly/ad-hoc reports to various executives and directors at WarnerMedia (WM) and Machinima
• ➤ Conducted various competitive analyses on emerging actors, celebrities, influencers, and promotional events for WM
• ➤ Work closely with internal stakeholders (Marketing, Sales, Research, etc.) to understand business objectives and the larger strategic context behind individual initiatives.
• ➤ Spearheaded the creation of optimal workflows and excel automation to streamline data mangling resulting in reduced errors and faster reporting turnarounds
• ➤ Accomplishment: Discovered and reported the LGBT+ audience was an exponentially growing segment in OCEAN’S 8 which resulted in adding actor appearances in specifically targeted LGBT skewing talk shows, shift in social content, and even constituted a re-edit to the film
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Crimson Hexagon, Tubular, Excel (VBA, Macros, V-Lookup, SumIfs), Tableau Desktop, YouTube Analytics, Twitter Analytics, Facebook Analytics, Google Trends, Natural Language Processing (NLP)

Jan 2017 – May 2017 · 4 mos · Gardena, California, United States

• ➤ Created bi-monthly SEO, SEM, and social media reports to measure the department’s efforts
• ➤ Assisted in SEO and PPC efforts via Google Analytics and AdWords
• ➤ Crafted targeting social media ads on Facebook, Instagram, Twitter, and LinkedIn resulting in a 51% increase in ROAS
• ➤ Created and maintain various Google Doc one-sheets, budgets, and timelines
• ➤ Coordinated cross-functional meetings to discuss marketing strategies
• ➤ Crafted copy and designed emails to 30,000+ HR professionals across the United States
• ➤ Obtained internal approval with the executive team on budgets, contracts, and website changes
• ➤ Collaborated with agencies for marketing assets and strategic planning
• ➤ Reviewed copy to ensure they were error-free and followed brand guidelines
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Excel (pivot tables, v-lookups, nested ifs), Google Analytics, Google AdWords, Facebook Business Manager, Twitter Ads, LinkedIn Ads, Adobe Photoshop, Asana, Hootsuite, Google Drive

Jun 2016 – Oct 2016 · 4 mos · Santa Ana, California, United States

• ➤ Created visual content by photographing aesthetic food across Los Angeles and Orange County
• ➤ Delivered content in a fast-paced environment to meet social media deadlines
• ➤ Utilized Instagram Insights to determine which posts did statistically well and discovered that the top 10% liked posts used a wide-angle lens with a shallow depth of field. After this discovery, the visual content I created did 50% greater in likes and engagements.
• ➤ Crafted engaging social media copy that appealed to FOODBEAST’s target market of foodies 18-35 y/o
• ➤ Collaborated with the video team to produce cohesive content for the marketing campaign we ran with Visit Anaheim
• ➤ Produced a Facebook live-stream of a Roomba Pong game at the Sausage Party movie premiere sponsored by Pabst Blue Ribbon and DogHaus resulting in 100k views
• ➤ Produced and photographed campaigns with other brands such as: Jack In The Box, Klondike, San Manuel Casino, Totino’s, Motto Wines, Modelo, hhgregg, and Johnsonville
• 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Adobe Photoshop & Lightroom, Google Docs, Iconosquare (Instagram Analytics tool), Instagram, Facebook, Twitter.