Jithin Mathew

Background

About Jithin Mathew

He is a skilled Data Solutions and Analytic Engineer specializing in advanced Data Engineering, Analytics, and Visualization. With extensive experience in leveraging cutting-edge technologies, he excels in transforming complex data challenges into actionable insights and strategic solutions across various sectors, including MedTech, Pharma, Manufacturing, and Supply Chain.In his role, he engages with clients to understand intricate requirements, collaborates with teams in developing technical solutions using Agile/Scrum methodologies. He adeptly designs and implements novel data engineering architectures and analytical frameworks using Azure, Microsoft 365, open-source, and commercial tools. His expertise includes researching and integrating open-source tools and conducting POCs to enhance enterprise solutions, including Big Data and GxP-compliant systems.He has a robust background in developing data pipelines with sophisticated transformation and curation logic. He is proficient in creating scalable data visualization solutions using Power BI and has a proven track record in leveraging AI-supported reporting interfaces to deliver impactful visualizations.His technical prowess extends to integrating Azure services with Microsoft Fabric, Power BI and Microsft 365 for the development of intelligent business solutions, including dynamic alerts, process management, and task traceability. He is adept at implementing and optimizing tools such as Apache Superset, DVC, OpenAI, and Apache Echarts, and has developed Python-based data curation solutions.Key technical skills include: Python: ‣ Data Processing (PySpark, Pandas)‣ Data Visualization (Matplotlib, Seaborn, Plotly) SQL: Advanced Data Management (DDL, DML, Stored Procedures, Triggers, Functions) Data Engineering: Tools and Frameworks (Alteryx, Databricks, SQL, Dagster, Airflow, Astronomer) Data Visualization: Platforms (Power BI, Apache Superset, Apache Echarts, Dash, Plotly, Streamlit) Azure: Data Services and Storage, Databricks, Data Factory (ADF), Data Lakes & Warehouse, Stream Analytics Microsoft 365 & Power Platform: Power BI, Power Automate. Microsoft Fabric: DE, DA & Enterprise Solutions. DevOps: Version Control (Git, Bitbucket, DVC), CI/CD (Jenkins), Containerization (Docker, Kubernetes) Other Technologies: Gen AI (OpenAI, LangChain, Flowise AI), Copilot, AutoGen (AG2)Microsoft Certified: 6x Data & AI.With a keen focus on innovation and efficiency, he drives impactful results and delivers high-value data-driven solutions.