BS

Open to opportunities

Bilal Siddiqui

@bilalsiddiqui2

I’m an Analytics Engineer turning messy operational data into governed, decision-ready BI on Snowflake, dbt, and AWS.

What I'm looking for

I’m looking for a team where I can build governed data pipelines and BI that leaders use daily—shipping reliable Snowflake/dbt/Airflow systems, collaborating across engineering, and applying my sports analytics pipeline experience to real products.

I’m an Analytics Engineer with 5+ years building production data pipelines and BI platforms on Snowflake, dbt, and AWS. I specialize in taking messy operational data and transforming it into governed, decision-ready systems—from ingestion to the dashboard a stakeholder refreshes every morning. At Steampunk Inc., I built Python and Airflow pipelines processing 50GB+ of data daily into a critical data mart while maintaining 99.9% uptime across downstream reporting.

I also focus on end-to-end impact: I designed and deployed 15+ Tableau dashboards for senior leadership, replacing manual reporting and improving time-to-insight. Previously at CapTech Ventures, I migrated legacy ETL from Matillion to a modern Snowflake + dbt stack, cutting pipeline execution time by 30% and reducing infrastructure costs by 20%. I’ve built and operated 12+ production data pipelines with AWS (S3, Glue), Elasticsearch, and Python, and I designed a Master Data Management framework in Databricks to consolidate sources into a governed single source of truth.

Experience

Work history, roles, and key accomplishments

SI

Current

Analytics Engineer

Current

Steampunk Inc.

Sep 2024 - Present (1 year 9 months)

Built Python and Airflow pipelines processing 50GB+ of data daily into a critical data mart, maintaining 99.9% uptime for downstream reporting. Designed 15+ Tableau dashboards for senior leadership, administering Tableau Server for 100+ users and enabling repeatable AWS pipeline deployments with Terraform.

Python Apache Airflow AWS Terraform Snowflake Tableau Data Pipelines Data Governance

CV

Senior Data Engineer

CapTech Ventures

Sep 2020 - May 2024 (3 years 8 months)

Migrated legacy Matillion ETL workflows to a Snowflake + dbt data stack, cutting pipeline execution time by 30% and reducing infrastructure costs by 20%. Built 12+ production pipelines on AWS (S3, Glue) with Elasticsearch and Python, and created an MDM framework in Databricks to deliver a governed source of truth.

Snowflake DBT Python AWS S3 AWS Glue Elasticsearch Apache Spark Databricks ETL Master Data Management

Education

Degrees, certifications, and relevant coursework

TA

Tableau

Tableau Certified Data Analyst, Data Analytics

Pursuing the Tableau Certified Data Analyst certification, expected completion in July 2026.

AA

Amazon Web Services (AWS)

AWS Certified Cloud Practitioner, Cloud Computing

Completed the AWS Certified Cloud Practitioner certification in October 2024.

VU

Virginia Polytechnic Institute and State University

Bachelor of Science, Business Information Technology

Earned a Bachelor of Science in Business Information Technology from Virginia Polytechnic Institute and State University, graduating in May 2020.

Tech stack

Software and tools used professionally

Matillion

GitHub

NumPy

Pandas

dbt

Databricks

Terraform

Elasticsearch

Airflow

SQL

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