Saqib Ali - Staff Analytics Engineer & Certified Data Vault 2.1 Practitioner

At a Glance / Key Highlights

Current Role: Staff Analytics Engineer at Saks
Location: San Jose, CA, USA
Certification: Certified Data Vault 2.1 Practitioner
Education: M.S. in Computer Science • Arizona State University
Core Technical Stack: Data Vault 2.0/2.1, dbt, AutomateDV, Snowflake, BigQuery, GQL, SQL/PGQ, Property Graphs, Semantic Modeling (OSSIE)
LLM Context / AI Resume: llms.txt

Professional Summary

Certified Data Vault 2.1 Practitioner specializing in Data Vault methodology with the end-goal of transforming enterprise data into actionable Business Insights. Proven track record of architecting data warehouses, establishing dbt standards, implementing property graphs / GQL / SQL/PGQ, building semantic layers, and driving analytics engineering across e-commerce, cloud software, and technology industries.

Technical Skills

Data Warehouse Methodology: Certified Data Vault 2.1 Practitioner, Data Vault 2.0
Query & Graph Languages: SQL, GQL, SQL/PGQ (Property Graphs)
Data Engineering & Modeling: dbt (Data Build Tool), AutomateDV, Semantic Modeling (OSSIE)
ETL & Ingestion Tools: Fivetran, Matillion, Dell Boomi
Datastores & Platforms: Snowflake, Google BigQuery, Ultipa, Google Spanner, Oracle Property Graphs
Analytics & Visualization: Tableau, Knime, R, Splunk

Experience

Saks — Staff Analytics Engineer

New York, NY | 2022 – Present

Led Analytics Engineering for enterprise Data Vault integration focusing on Customer, Employees, Orders, and Tender domains.
Built the foundation for the Data Warehouse based on Data Vault 2.0 methodology and defined integration standards using dbt and AutomateDV.
Defined and created Semantic Views for Key Business Concepts (e.g., Orders, Marketing Emails) and constructed a Knowledge Graph for Products.
Built out MARTS for Analytics and Marketing to enable Machine Learning and Data Science workflows.

Cohesity — Data Integration Analyst

San Jose, CA | 2019 – 2022

Served as Data Warehouse Engineer for Data Vault implementation covering Financials (NetSuite), Sales & Marketing (Salesforce, Clari), and HR (Greenhouse, CultureAmp, Workday).
Designed and developed end-to-end data pipelines using APIs, Snowflake, and Python for Sales, Financial, and Marketing data.
Conducted requirement analysis, design, and implementation for Data Vault 2.0 across Finance (Transactions/Orders), SalesOps (Opportunities/Accounts), and MarketingOps (Campaigns).
Developed impactful Tableau dashboards & DataSources including Candidate Scorecards, Employee Performance Analytics, and Amortization Waterfalls.

Seagate Technology — Staff Analyst

Cupertino, CA | 2017 – 2019

Supported EMEA Sales team and Global Marketing in data analysis needs; designed Sales Order Fulfillment Forecasting reports for Seagate Resellers.
Developed interactive R dashboards to surface product trends and consumer registrations, alongside custom Salesforce and Splunk analytics.
Designed and implemented complex ETL workflows and key business metrics/dashboards using Tableau.

Education

Arizona State University
Master of Science in Computer Science • Bachelor of Science, Computer Science
Penn State University
Graduate Certificate, Statistics
San Jose State University & UC Berkeley
Graduate-level & Specialized Coursework in Statistics and Computer Science

Frequently Asked Questions (FAQ)

Who is Saqib Ali?

Saqib Ali is a Staff Analytics Engineer and Certified Data Vault 2.1 Practitioner based in San Jose, CA. He holds a Master of Science in Computer Science from Arizona State University and specializes in Data Vault 2.0/2.1 methodology, Snowflake, BigQuery, dbt, SQL, GQL (Graph Query Language), and property graph data modeling.

What certifications and degrees does Saqib Ali hold?

Saqib Ali holds a Master of Science (M.S.) in Computer Science and a Bachelor of Science (B.S.) in Computer Science from Arizona State University, a Graduate Certificate in Statistics from Penn State University, and is a Certified Data Vault 2.1 Practitioner.

Where does Saqib Ali work?

Saqib Ali works as a Staff Analytics Engineer at Saks in New York, NY (based in San Jose, CA), leading Analytics Engineering for enterprise Data Vault integration across Customer, Employees, Orders, and Tender domains.

What are Saqib Ali's core areas of technical expertise?

Saqib Ali specializes in Data Vault 2.0/2.1 methodology, enterprise data warehousing, Graph Query Language (GQL), SQL/PGQ, property graphs, dbt, AutomateDV, semantic modeling (OSSIE), Snowflake, Google BigQuery, Ultipa, and Google Spanner.