Syed A.
Mid-Level Data Engineer
Open to offersNew to PlatformAbout
Syed A. is an experienced Data Engineer and Analytics Engineer recognized for his ability to build enterprise-scale data platforms and scalable ELT pipelines. With over three years of expertise, he specializes in crafting business intelligence solutions across varied domains. Throughout his career, he has demonstrated proficiency in tools and technologies such as Amazon Redshift, Google BigQuery, Airbyte, dbt, Apache Airflow, and Kafka. In his current role at StatDevs, Syed has designed robust ELT pipelines, enhancing data integration from over 20 business sources, and delivered comprehensive executive dashboards using Power BI and Zoho Analytics. His technical competence extends to optimizing Amazon Redshift environments for cost efficiency and deploying real-time analytics with Kafka streaming. Previously, at SKT Welfare in the UK, he centralized a Google BigQuery warehouse, supporting marketing and donor analytics. He holds a degree in Computer Science from FAST National University of Computer & Emerging Sciences.
Experience
Data Engineer
SKT Welfare (UK) · 2025 — 2026Constructed a centralized Google BigQuery warehouse that integrated more than 15 platforms. Developed production dbt ELT pipelines alongside reusable transformation layers. Produced executive dashboards aimed at supporting donor and marketing analytics.Regional Data Analyst
Daraz · 2023 — 2024Standardized regional KPIs and significantly minimized manual reporting efforts. Created dependable analytical datasets.Analytics Engineer
StatDevs · 2023 — PresentCreated enterprise ELT pipelines that incorporated over 20 business data sources. Developed scalable dbt models featuring automated testing and incremental strategies. Enhanced Amazon Redshift performance through WLM, materialized views, sort keys, and distribution keys. Delivered executive dashboards utilizing Power BI, Zoho Analytics, and Looker Studio. Established Kafka streaming pipelines for near real-time reporting.Data Scientist
Zyne Ventures · 2022 — 2023Engineered predictive machine learning models using Python. Executed Apache Airflow ETL workflows and established Kafka streaming architecture. Provided mentorship to junior analysts and engineers.
Skills & Expertise
Education
- Bachelor of Science in Computer ScienceFAST National University of Computer & Emerging Sciences · 2018 — 2022
- Cambridge A LevelsFoundation Public School · 2016 — 2018
- Cambridge O LevelsFoundation Public School · 2014 — 2016
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