Top Rated Plus | 100% Job Success | $400K+ earned | 11,890 hours | 5.0 from 29 reviews. Your dashboards are slow, your sources disagree, and leadership no longer trusts the numbers. I rebuild the analytics layer on dbt, Snowflake and BigQuery.
Three things usually break at once. Numbers that disagree between tools, because the same metric is defined three times in three places. Reports that arrive too late to act on, because the pipeline is manual or fragile. A warehouse nobody can extend, because the modelling was never written down or tested.
I fix them in that order: agree the definitions, model them once in dbt with tests and documentation attached, then put the reporting layer on top. After that, adding a source is a day's work, not a project.
DATA MODELLING AND TRANSFORMATION
dbt models on Snowflake and BigQuery that turn raw multi-source data into analytics-ready datasets. Tests on every source and key, documentation generated from the models themselves, modular design so the layer stays maintainable. dbt Core, dimensional and star-schema modelling, incremental models, custom macros. A public dbt case study sits in the portfolio below if you want to read the models themselves.
PIPELINES AND ORCHESTRATION
ETL and ELT built with SQL, Python, Apache Airflow and Dagster across GCP, AWS and Azure. Ingestion from APIs, SaaS tools and ad platforms using Airbyte, Fivetran and Supermetrics, GA4 BigQuery exports and serverless pulls on Cloud Functions. Monitoring, retries and validation, so failures surface before your stakeholders find them.
BI AND DASHBOARDS
Power BI, Tableau and Looker Studio, plus Metabase, Apache Superset, Sigma Computing, Klipfolio. Semantic models and row-level security rather than charts bolted onto raw tables. Executive reporting, KPI tracking and self-service analytics, designed for the people who actually use them.
WAREHOUSE, CLOUD AND DATA PROTECTION
Snowflake, BigQuery, PostgreSQL, Redshift, ClickHouse and Microsoft Fabric. Migrations off legacy systems, query and cost tuning, access separation per client or entity. I work from Germany under EU rules, so GDPR handling, PII-aware modelling and EU data residency are part of the design, not a later patch.
RECENT WORK
Faizan K. earns an estimated $16k/mo. That's 10.9× the typical freelancer and more than 99.96% of everyone we track.
Also Sojo Industries (continuous intelligence, retail), ECAP (financial modelling, private real estate) and Westwise (marketing and sales data, legal services).
HOW I WORK
End to end ownership, from ingestion through dbt modelling to the dashboard. I document what I build and hand it over, so your team can extend it without me. One engagement was maternity cover for a client's own senior data engineer - the clearest test of working inside an existing team and codebase. I ran Power BI, Azure and SQL workshops as a Microsoft Student Ambassador, which is why handover and enablement are part of what I deliver.
Send me your current setup - the warehouse, the tools, the report nobody trusts - and I will tell you what I would change first, and why. Available 30+ hrs/week, replies inside 0-4 hours, open to projects, retainers and contract-to-hire.
KEYWORDS
analytics engineer, data engineer, data architect, dbt, Snowflake, BigQuery, PostgreSQL, Redshift, ClickHouse, Microsoft Fabric, Apache Airflow, Dagster, Airbyte, Fivetran, Supermetrics, ETL, ELT, data pipeline, data warehouse, data modelling, star schema, semantic layer, Cube, Power BI, DAX, Tableau, Looker Studio, Metabase, Apache Superset, Sigma, Klipfolio, SQL, Python, GA4, Google Analytics 4, Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, HubSpot, Salesforce, Stripe, marketing analytics, attribution, ROAS, cohorts, LTV, CAC, churn, RFM, GCP, AWS, Azure, GDPR