An experienced Senior Technology Lead with a track record of success in the US & UK financial services and UK General Insurance sector. Having strong domain expertise in Fixed Income, Capital Markets, and Equity Markets, as well as a track record in the financial services business (Investment banking and Retail banking). Due to my keen interest in the data science field, I recently earned MSc Degree in Artificial Intelligence from the University of Aberdeen, UK in Nov 2021. DATA is the new oil, and deriving, analyzing, and converting knowledge from data into meaningful results is my passion. Data Science, Machine Learning Algorithms, Big Data Analytics, Data Warehousing, and Visual & Web Analytics are some of my favorite topics. With over 10th plus years of expertise in the fields of business intelligence and data analytics, as well as certifications as a Scrum Master and a Google Analytics Developer. 1) Extensive experience (8+ years) with a variety of Business intelligence tools, including Tableau, Power-BI, Qlikview, and QlikSense, as well as MS-SQL Server Reporting Services (SSRS). 2) Strong T-SQL database development background with over ten years of expertise writing stored procedures, views, materialized views, user-defined functions, triggers, and CTEs (Common Table Expressions) for a variety of ongoing SQL database projects (T-SQL in SQL Server 2008/2012). 3) Practical experience in developing an AWS Cloud Data Pipeline utilizing Python and Pyspark, AWS Glue, AWS S3, Airflow, and AWS Redshift. 4) Hand-on experience in building ETL Pipeline (SSIS, Informatics, Azure Data Factory, Azure Data Lake and Azure Data bricks). 5) Hand-on of experience in building Physical and Logical data models in line with the Conceptual model and therefore in line with Data warehousing technical components (e.g. Data Modeling, ETL/ Data pipelines). 6) Strong experience in GitHub to manage releases, and to collaboratively build and deploy clean pipelines using Jira (Confluence) tool and have good knowledge of Agile Methodology (SCRUM). 7) Experience with using python data-centric packages such as PySpark, Numpy, and Pandas etc. Why hire me? • Proficient to derive meaningful insights out of data with know-how • Passionate to learn, won’t shy away from asking ‘How?’ to solve complex business problems • Innovative, logical, and data-driven approach. Love Business Intelligence and Data Science & Analytics. Data Enthusiast. Technology Geek