Rajan Patel Email & Phone Number

Sunnyvale, California, Us

Led the establishment and growth of the Analytics Engineering function, driving a data-driven culture across the organization.Key Responsibilities:- Lead a team of 6 analytics engineers and data scientists.- Align analytics strategy with business & product objectives.- Implement and optimize full modern data stack.- Drive data governance and security initiatives.- Champion data democratization across the business organizations.Key Achievements:- Built a full modern data stack. Expanded data sources from 3 to 35, resulting in 80% improvement in cross-functional data visibility and insights.- Implemented ThoughtSpot as the company-wide BI tool, achieving 75%+ adoption rate and successfully migrating from Tableau and Sigma.- Co-developed comprehensive dbt data models supporting KPIs across 10+ departments, leading to increase in data-driven decision making.- Developed executive dashboards for CFO and CRO to track ARR, NRR, GRR, ACV, churn, billings, renewals, and sales team productivity metrics.- Led Product Metrics Framework initiative to measure analytics and track user adoption.- Established People DW and data models for People, Recruiting and Performance metrics.- Mentored and developed team members, fostering growth and improving team performance.Technologies: Snowflake, Fivetran, Portable, Paradime (dbt framework), dbt cloud, SQL, Airflow, Python, ThoughtSpot, Tableau, Sigma, HEX, Hightouch, GitHub, OktaSpeaking Engagements:- Snowflake Summit 2024: Presented on “Put LLMs to work on your business data with Gen AI-Powered analytics”- ThoughtSpot SKO 2023: Presented on “Lacework’s journey with ThoughtSpot from Tableau”- Snowflake Tour 2023: Shared how “Lacework Enables Every Employee with ThoughtSpot and Snowflake”- Low key data conference 2022: Panel discussion on “Career paths in data”

Sunnyvale, California, Us

San Francisco, Ca, Us

Spearheaded the creation of a centralized Analytics function, enabling data-driven decision-making across the organization.Key Responsibilities:- Built and managed a team of 4 analytics engineers- Designed and implemented modern data stack architecture- Oversaw migration from legacy systems to new data infrastructureKey Achievements:- Designed and implemented a modern data stack (Fivetran, BigQuery, dbt, Looker), reducing data processing time by 70%.- Successfully migrated from the legacy DOMO system to the new data infrastructure, improving data accessibility across all orgs.- Integrated 10+ diverse data sources, including Salesforce, NetSuite, and Zendesk, creating a unified data view across the organization.- Closely collaborated with finance and sales teams to ensure data integrity and accurate reporting for the finance and Sales Ops team.- Developed executive dashboards that increased leadership data utilization by 50%.Technologies: Fivetran, BigQuery, dbt, SQL, Looker, Census, Google Connected Sheets, GitHub, PythonSpeaking Engagement:- Fivetran Modern Data Stack Conference 2020: Talk on “Building Trusted and Tested Data Marts at Fastly”

Santa Clara, California, Us

- Developed analytics and data visualization application for the cloud offering in the core product

Santa Clara, California, Us

Led end-to-end development and delivery of BI solutions for multiple business units.Key Responsibilities:- Owned and led BI practice across multiple business organizations- Developed and maintained critical analytics dashboards- Scaled data visualization tools and fostered data-driven cultureKey Achievements:- Developed operations dashboards for quarter-end reporting, highlighting bookings, shipping, billings, and revenue, which were critical for executive-level decision-making.- Developed a pioneering Investor Relations analytics dashboard, increasing investor engagement tracking accuracy.- Led the design of an internal sales mobile app, providing key insights for target account management.- Scaled Tableau server from 200 to 7,000 users, expanding data accessibility by 3400%.- Initiated and hosted company-wide analytics day, increasing cross-departmental data literacy.Technologies: SAP BO, SAP BW, SAP HANA, SQL Server, Salesforce, SQL, Tableau, Looker, BigQuery, Mulesoft, Alation, SAP ERP,Salesforce Einstein Analytics, Logi Analytics

Project - Blue shield of California - (San Francisco)Implemented in-memory SAP HANA and SAP Business Objects for high performance analytics.Project - Chartis (AIG -NewYork)Implemented Mobile analytics for executives using SAP Business Objects.

Minong, Wi, Us

Chicago, Illinois, Us

Master Of Science - Ms, Data Science (Dropout)

Master Of Science - Ms, Computer Engineering

Bachelor'S Degree, Business Administration And Management, General