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Shahzaib S. Status: Offline
Lahore, Pakistan
84% Job Success
Top Rated

Data Engineer | Analytics | ETL Pipelines | Python | AI/ML | Azure

✔ 100% Top Rated Profile. ✔ 100% 5-Star Reviews. ✔ Certified in Microsoft Power BI ✔Key Clients: S&P Global, Thomson Reuters, Morgan Stangley. ✔ 14+ Years in Development (Data Engineering, ETLs, Analytics, etc) About me: Over 14 years as a data engineer with expertise developing robust data analytics and ETL frameworks using Python, SQL, Azure, AWS, and AI/ML technologies. I have recently served as an ETL Developer for organizations like Bosch, Pearson, and ABN AMRO, implementing reliable, enterprise-level pipelines. I have spearheaded the creation of large-scale data pipelines and cost-effective architectures reducing costs by 92% utilizing Kafka, DBT, Trino, and Big Query. 𝐏𝐚𝐬𝐭 𝐂𝐥𝐢𝐞𝐧𝐭: 1. Wellnicity. Built the MVP as a founding engineer an AI-driven UI for patients to input symptoms and receive personalized health insights 2. Almana HealthCare: Delivered solutions including eService CMS, Almana Portal, Lab & Fleet Management, Patient, and Attendance apps. 3. Byway. Built brand management tools with Amazon integrations, payments, inventory, forecasting, and BI dashboards. 𝐊𝐞𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: I develop efficient, scalable data streaming solutions for financial, marketing and social sectors, recently reducing a client's database expenses by 92%, proficient in SQL, Python, Kafka and analytics. 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Designed staffing prediction and large-scale recommender models implemented cost efficient generative AI and LLMs using PyTorch, TensorFlow, and Ray. 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Skilled in Python, SQL, JavaScript/Node.js, and .NET with mastery in data workflows, ETL, cloud orchestration, and analytics reporting using Django, Airflow, Air byte, Prefect, Dagster, Power BI, and Looker Studio. 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Partner with teams to create robust data solutions leveraging cloud, event-based architectures, and storage. Send an invite or dm me to discuss your technology initiative and we can move forward with a quick chat. 𝗞𝗲𝘄𝗼𝗿𝗱𝘀: Data Engineer, Python, Machine Learning, Artificial Intelligence, ML/AI, Kafka, .NET, C#, Azure, SQL, Data Pipelines, Big Data, Data Analysis, Data Integration, Data Warehousing, Data Modeling, ETL Processes, Batch Processing, Real-time Data, Stream Processing, Cloud Computing, Azure Services, Database Management, Distributed Systems, Data Transformation, Predictive Analytics, Data Visualization, Scalable Solutions, Serverless Architecture, Microservices, DevOps, Continuous Integration, Continuous Deployment, NET Core, Web Development, RESTful APIs, Containerization, Docker. Kubernetes, Relational Databases, NoSQL Databases, Performance Tuning, Query Optimization, Data Security, Data Governance, Compliance, Business Intelligence, Dashboarding, Stream Analytics, Data-driven Decision Making
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