Muhammad Janjua

• Built foundational data infrastructure for new advertising products from scratch, enabling analytics capabilities before product launch
• Designed and implemented core data models and pipelines that serve as the backbone for product metrics, reporting, and experimentation
• Partnered with product and engineering teams to define data requirements, schemas, and key metrics for greenfield initiatives
• Established data quality frameworks and monitoring for newly launched products, ensuring reliable insights from day one

• Developed and maintained scalable data pipelines for revenue attribution analysis across the ads streaming infrastructure
• Built pipeline-to-datasource mapping systems for data lineage, cataloging, and dependency tracking
• Monitored streaming pipeline health, tracking latency violations and SLA compliance for ad delivery systems
• Supported data scientists by ensuring reliable, timely data availability for analytics and modeling

• Built the foundational analytics layer for PCA, a new advertising product enabling dynamic product recommendations
• Created and maintained the PCA Longterm Holdout Dashboard, tracking statistical metrics for experiment analysis including conversions, clicks, impressions, ad scores, CTR, CVR, and event-based revenue with confidence intervals
• Developed the Product Selection Delivery Funnel Dashboard, providing end-to-end visibility from catalog inclusion to conversion, identifying bottlenecks and drop-off rates across ad formats

• Designed the initial data architecture for CPV funnel tracking as the product launched
• Built the CPV Funnel Dashboard, tracking 7-stage user progression to identify revenue attrition points across ad formats (Carousel, Single Media, Collection) and top placements (Facebook Feed, Facebook Reels, Instagram Feed, Instagram Reels, etc.)

• Partnered with data scientists to perform A/B experiment analysis for Instagram and Ads experiments, measuring statistical significance and business impact
• Created Targeting Unified Monitoring Dashboard for launches and experiments, analyzing revenue exclusion across campaign dimensions
• Supported Instagram holdout experiment analysis to measure long-term product impact

• Monitored dashboard quality scores, ensuring compliance with visualization, reliability, performance, and data freshness standards
• Established best practices for data engineering dashboard creation

• Spearheaded the Patents Data Engineering Team at Google, leading to the development and launch of the innovative product 'ADAPT Legal', which revolutionized the way patent data was analyzed and utilized
• Developed and implemented comprehensive data strategies that played a pivotal role in preserving, defending, and augmenting the value of the company's patented technological assets
• Created the Patent Blocking Index (PBI) – a novel numeric index that determines the role a patent plays in blocking another patent, calculated by analyzing citations and references between patents

• Built and managed scalable data warehouses using Apache Spark and Databricks, enabling high-performance analytics across enterprise datasets
• Took charge of building and managing the data infrastructure, building ETL processes and ensuring data integrity across multiple workflow applications, resulting in significant reduction in data processing times
• Implemented data unification targeting multiple sources utilizing REST APIs
• Utilized Presto-powered pipelines in DataSwarm (Airflow) to extract, transform, and load data from Hive

• Developed and implemented a comprehensive web analytics solution for the centralized compliance and ethics hub at Meta
• Improved data accuracy by designing and implementing data streaming architecture in collaboration with Full Stack Engineers
• Designed and implemented an efficient logging spec architecture to enable seamless data landing in Hive tables, minimizing the need for intensive data cleaning efforts
• Created interactive Tableau dashboards to provide stakeholders with real-time visibility into key performance indicators

• Strategically collaborated with machine learning experts and data scientists to enable their workstreams and support advanced analytics initiatives
• Achieved a 156% year-over-year (YOY) increase in traffic on the compliance hub by leveraging data insights and implementing effective targeting strategies

End-to-End Go-to-Market Analytics

• Led an end-to-end project for Go-to-Market Chrome OS sales, delivering comprehensive analytics capabilities to drive sales strategy
• Led deep architectural discussions to transform raw data into actionable Knowledge KPIs, driving data-driven decision-making for multiple clients
• Developed data architecture and worked with vendors to streamline data ingestion processes across the Chrome OS ecosystem
• Built ETL data pipelines, BI models, and dashboards on GCP Cloud platform using Looker Studio and Plx tools
• Increased data processing speed by 35% by building optimized ETL pipelines for 3 major projects
• Collaborated with cross-functional teams to design and implement data integrations, ensuring seamless flow of metrics across systems
• Onboarded and managed 10 partner repair centers across the globe, standardizing data models to smooth the data ingestion process and reducing failed pipeline pickups