Syed Faisal A.

𝐈 𝐚𝐦 𝐚 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐢𝐧 𝐀𝐖𝐒, 𝐀𝐳𝐮𝐫𝐞, 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐏𝐲𝐭𝐡𝐨𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧. 𝐈 𝐝𝐞𝐬𝐢𝐠𝐧 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐝𝐚𝐭𝐚 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐩𝐨𝐰𝐞𝐫 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐁𝐈 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐚𝐧𝐝 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬. 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 I help companies build production ready data ecosystems using: Data Engineering & Pipeline Development - ETL / ELT architecture and development - Batch and streaming pipelines - Databricks, Apache Spark, Python - Airflow, Azure Data Factory Cloud & Platform Architecture - AWS, Microsoft Azure, Microsoft Fabric - Serverless and managed services: Lambda, Glue, EMR, ECS, Azure Functions, Synapse Big Data & Distributed Processing - Apache Spark (batch and streaming) - Databricks - Kafka, Hadoop Data Storage & Database Engineering - Data lake and data warehouse design - Data Modeling - PostgreSQL, MySQL, SQL Server - Snowflake, Teradata DevOps, Automation & Deployment - Docker based deployments - CI/CD pipelines - DevOps and infrastructure automation AI & Analytics Ready Data Pipelines - RAG development and chatbot data pipelines - Model preprocessing and feature engineering - Data preparation for AI, ML, and analytics workloads 𝗪𝗵𝘆 𝗮𝗺 𝗜 𝗮 𝗦𝘁𝗿𝗼𝗻𝗴 𝗙𝗶𝘁! • 9+ years of hands-on experience building, scaling, and maintaining large-scale data platforms • Deep expertise in designing and operating ETL/ELT pipelines and real-time streaming systems • Strong Python engineering for data processing, automation, and backend data services • Proven experience building reliable, cost-efficient cloud-based data architectures • Regularly support analytics, BI, and AI/ML teams with production-ready data pipelines • Known for clean documentation, clear communication, and consistent delivery in complex data environments 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗪𝗼𝗿𝗸𝗲𝗱 𝗪𝗶𝘁𝗵 Finance, SaaS, Retail, Healthcare, Logistics, Enterprise Software & Analytics If you are looking for a high level Data Engineer & Cloud Architect who can design, build, optimize, and scale your entire data platform then let’s discuss your project in detail. I am ready to start immediately.