Personal details

Shahid T. - Remote data engineer

Shahid T.

Based in: 🇦🇪 United Arab Emirates
Timezone: Abu Dhabi (UTC+4)

About

Senior data engineer and BI specialist with 17+ years of experience building scalable data warehouses, reliable pipelines, and high-impact reporting solutions across advertising, retail, real estate, and supply chain. Brings strong business understanding across marketing and sales, finance, and logistics, with a strong track record of modernising legacy data environments and optimising large-scale workloads.

Work Experience

Senior Data Engineer
Jun Group | Jul 2022 - Mar 2026
Python
Java
MySQL
PostgreSQL
Google BigQuery
ETL
Google Cloud Platform
Data Visualization
Star Schema
Google Data Studio
Data modeling
Data Engineering
Apache Beam
Apache Airflow
Google Dataflow
Gcp cloud composer

· Built 70+ of the 110 Airflow DAGs maintained on GCP Composer for a digital advertising company.

· Built Apache Beam / Dataflow pipelines for terabyte-scale workloads and streaming Pub/Sub data.

· Evaluated and prototyped multiple BI platforms before driving adoption of Holisticsas a cost-effective semantic-layer alternative to Looker for scalable enterprise reporting.

· Designed and developed a new star-schema data model in BigQuery, replacing a legacy architecture of hundreds of report-specific tables with about 40 tables and simplifying maintenance.

· Redesigned and optimised legacy ETL queries to reduce processing overhead, pipeline failures, and backfill requirements, and implemented built-in error checks and alerts to improve pipeline reliability.

· Migrated 30+ legacy Looker Studio reports to Holistics, consolidating standalone reports into a centralised, drill-through reporting experience that improved navigation and usability.

· Designed analytical solutions on my own initiative that enabled richer user analysis, expanded segment targeting and predictive modelling population by 6x, and supported adaptation to new PII regulations.

Power BI Consultant
BCG Gamma | Oct 2021 - Jun 2022
PostgreSQL
Azure SQL
Power BI
Azure Data Factory

· Built Power BI reports that were embedded in a broader UI to compare predicted vs actual pricing strategy for a retailer with 9,000+ stores. Data sourced from Azure Data Lake and PostgreSQL.

· Benchmarked and optimised a DirectQuery Power BI model and the SQL views powering it, improving load times through reduced query count, caching, and tuning of underlying queries.

· Integrated and aggregated data from CSVs, Spark outputs, application data, and modelling outputs.

Projects

Sample Power BI Dashboards
2021
Data Visualization
Microsoft SQL Server
Power BI
Data modeling
Some of the dashboards I have done in Microsoft Power BI over 5+ years. Used optimised and efficient data modeling to make it refresh and run faster. Taken over existing models and reduced pbix size by up to 90% and standardised UI
MySQL Performance Optimisation
2020
MySQL
Database Administration
Data Migration
Database Tuning
MySQL Optimization
I have a set InnoDB engine stats collection and evaluation process, to configure the database properly, collect queries run against the database, profile it, and optimise high impact queries. The charts show improvement over time from my continuous monitoring and optimisation of a MySQL database.