
Brian B
BI and Data Engineer, Tableau, QuickSight, Snowflake, AI and RAG
Competenze

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Esperienza lavorativa
Lead Machine Learning Engineer | Lift AI
Lift AI
Apr 2019 - Present • 7 yrs 7 mos
- Built and scaled a real-time buyer-probability model that drove a 71% lift in chat conversions and a 67% drop in cost per lead for RealVNC, and helped Boomi more than double conversion-to-opportunity rates. - Trained it on billions of behavioral events with PySpark and Spark ML, served it via MLeap at under 200ms for APIs processing 50M+ daily events, with drift detection and alerts. - Led the cross-team build that added real-time scoring to client websites. - Shipped a GenAI briefing platform in Snowflake that tells sales teams who is on their site and what to do next, via REST API, MCP server, or CRM. - Built its evaluation harness (an automated QA gate of 35+ checks plus human-in-the-loop review) and added RAG with Cortex Search. - Secured it with per-client isolation, rate limits, and a credit ceiling, shipped via CI/CD with 70+ tests and automatic rollback. - Led the move to Snowflake on AWS, cutting monthly cloud costs 35%, and moved company reporting to QuickSight.
MarketLinc
9 yrs 3 mos
Business Intelligence Lead | MarketLinc Technology Corp
Oct 2015 - Apr 2019 • 3 yrs 6 mos
- Built and led a BI team of up to 10, owning reporting infrastructure, KPI definitions, and self-serve analytics, including hiring, coaching, and performance reviews. - Delivered reporting that Sales, Finance, Client Success, Product, and the C-suite relied on, partnering with department leaders on requirements and training, and presenting findings to senior leadership. - Owned Tableau as an enterprise platform: governance, permissions, publishing workflows, licensing, and performance tuning. - Launched a self-serve Tableau platform that consolidated 40+ clients' reporting suites into shared, topic-focused dashboards on a reusable data architecture. - Standardized metric definitions into one stored-procedure-driven source of truth, ending drift across 40+ one-off variants. - Automated ingestion, reporting, and reconciliation with Python, PostgreSQL, Salesforce, and FTP automations, cutting turnaround from hours to under an hour, and had new clients' dashboards ready on Day 1.
Lead Data Engineer | MarketLinc
Jan 2010 - Oct 2015 • 5 yrs 9 mos
- Built the data engineering team and its technical foundation from the ground up, hiring and coaching engineers and standardizing the ETL frameworks, data modeling, and engineering practices that kept reporting systems easy to maintain and scale. - Built high-throughput ETL and data pipeline systems on SQL Server for large-scale behavioral, operational, and customer intelligence data, achieving 99.9% nightly pipeline reliability. - Developed dynamic source-to-target mappings that aligned common fields across sources to standard target fields, replacing a separate load script for each client with a single, fully automated pipeline, with data dictionaries documenting the sources and fields. - Implemented data quality monitoring that flagged anomalies and new values as data arrived, catching issues before they reached downstream reporting, alongside workflows for deduplication, record merging, sequencing, and reconciliation.