Big Data Expert with over 10 years of experience. Employers: Eagle Alpha, Facebook, J.P. Morgan, Accenture. Education: B.Eng(Computer science), MSc.
▪️ Big Data Ecosystem: Hadoop, HDFS Map Reduce, Hive, Presto, Spark, Airflow, Snowflake.
▪️ Backend: Python, UNIX.
▪️ AWS: Serverless, Lambda development and deployment, Glue, Athena, Redshift, RDS, EMR, EC2, IAM, S3.
▪️ Data warehouse: Built EDW and Data Marts, OLAP, ETL, data architecture (modelling, dimensions and Normalisation), data pipelines, columnar databases.
▪️ Databases: Oracle, MS SQL Server, MySQL, PostgreSQL
▪️ Database languages: SQL, PL-SQL, T-SQL, NoSQL
▪️ BI Reporting: Tableau, SSRS, SSAS, Oracle Apex
Design conceptual and logical data models to integrate data sources to build EU data mart.
Develop new metrics to analyze all areas of payment processing, from finance, sales to client services.
Develop reports as required, including exception logic and granular reports using SSRS / Tableau.
Build monthly and quarterly payments key performance indicators dashboard for clients and executives using T-SQL and SSRS.
Worked closely with the project management team to analyze and consolidate request requirements to improve the decision planning process and meeting project deadlines.
Manage, develop and deliver oracle-based projects, through complete life-cycle from requirement gathering, design, specification write-up, development, testing, implementation and roll-out support.
Develop and implement EDW, OLTP-OLAP ETL processes, report building, dashboard design and business intelligence solutions.
Perform SQL tuning with cost-based optimizer to increase the EDWs performance.
Develop housekeeping programs to improve EDW performance.
Interacted with supply chain partners to maximize supply chain customer service.
Day to day inventory management to minimise remnants and maximise customer service.
Lead & Managed WMS (Warehouse Management System) team.
Provided 24 * 7 support for oracle applications, worked on major issue root causes and solution analysis.
Analysed and resolved incidents raised by the client with regard to the above applications.
Identified gaps in the supply chain in order to perform enhancements and automations on the chain.
Design conceptual and logical data models to integrate data sources to build EU data mart.
Develop new metrics to analyze all areas of payment processing, from finance, sales to client services. Develop reports as required, including exception logic and granular reports using SSRS / Tableau.
Build monthly and quarterly payments key performance indicators dashboard for clients and executives using T-SQL and SSRS.
Worked closely with the project management team to analyze and consolidate request requirements to improve the decision planning process and meeting project deadlines.
Manage, develop and deliver oracle-based projects, through complete life-cycle from requirement gathering, design, specification write-up, development, testing, implementation and roll-out support.
Develop and implement EDW, OLTP-OLAP ETL processes, report building, dashboard design and business intelligence solutions.
Perform SQL tuning with cost-based optimizer to increase the EDWs improve EDW performance. Develop housekeeping programs to improve performance.
Responsible for architecting data platform and finding solutions for alternative data with help of big data and AWS.
Manage ETL, data warehouses and data lakes for multiple products.
Build relationship with product managers and product analysts to understand data needs, deliver working solutions and analytics in an Agile and Iterative manner.
Review project objectives and determine best technology for implementation.
Implement best practice standards for development, build and deployment automation.
Process semi-structured / unstructured data.
Manage working groups like Social, GoGreen, Gaming and Charity.
Continuous improvement on work culture, efficient meetings, teamwork.
Helped teams to adapt to new working culture during COVID19 pandemic.
Architect, build and launch new data models that provide intuitive analytics to customers.
Design, build and launch efficient & reliable data pipelines to move data to large Data Warehouses.
Responsible for ETL, data landing and Data quality of critical systems.
Develop Tableau dashboards for data visualization, used by executives.
Perform automations wherever possible.
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