Afzal Solangi

𝐃𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. Most of my work sits across the full data lifecycle: ingestion, orchestration, modeling, and product-facing analytics. I design and operate cloud-native data architectures on Google Cloud Platform, with BigQuery serving as the central analytical warehouse for reporting and application-layer analytics. I build and operate pipelines using Airbyte, Airflow, Python, and dbt, handling large-scale API ingestion, rate limits, retry strategies, and distributed workflows. A big part of the work is ensuring systems remain efficient and stable in production while balancing performance, cost efficiency, and minimizing operational blast radius when failures occur. I also enjoy working close to the product layer. Recently led the transition of internal analytics dashboards into a production-grade Next.js application deployed on Vercel, with Supabase, Clerk, and BigQuery forming the backend analytics stack. 𝐓𝐡𝐢𝐧𝐠𝐬 𝐈 𝐜𝐚𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 ●Building systems that scale with growth ●Keeping data platforms reliable in production ●Making complex systems understandable for teams Outside of work I enjoy experimenting with technology. That usually means exploring new tools, tinkering with infrastructure setups, testing local AI and automation workflows, or generally breaking things just to understand how they work. I also grew up playing video games, which is probably where the curiosity for systems and technology started in the first place. Currently continuing to deepen my understanding of cloud data architecture, distributed systems, and modern data platforms. Open to collaborating on interesting data platform and analytics infrastructure challenges.