### Summary ###A tech lead BI data engineer with over +10 years of experience in Retail industry designing, developing and maintaining data pipelines and platforms for business intelligence and analytics using Azure cloud, Cloudera, Oracle, graphic and programal ETL tools using IBM Datastage and MS Integration Services. Experience as a product owner with strong skills in agile methodologies, stakeholder management and user story creation. A proficient scripter with experience in Python, R, SQL, Bash and PowerShell. A project delivery developer and lead with experience in delivering end-to-end solutions for various clients. A Python developer with experience in building applications and services using Kafka, RabbitMQ, Hadoop, Spark, Spark Streaming. A BI developer with experience in building reports and dashboards using MicroStrategy and Power BI.Implemented machine learning models and statistical analysis sush forecast and uplift sales, segmentation, churn and stock replenishment.### Work Experience ###Tech Lead BI Data Engineer - Present• Led a team of data engineers to design and implement data pipelines and platforms for business intelligence and analytics using Azure cloud services and Cloudera CDH.• Collaborated with data architects, analysts and scientists to ensure data quality, reliability and scalability.• Performed data modeling, profiling and cleansing using Oracle Database and Microsoft SQL Server.• Developed and deployed ETL processes using IBM Datastage, Pyspark,PySQL and Databricks.• Created reports and dashboards using Power BI and MicroStrategy.• Automated and monitored data workflows using CAWA, Azure Data Factory and Jenkins.• Managed code repositories and version control using Git.• Troubleshot and resolved data issues using Python, SQL and Bash scripts.• Applied best practices and standards for data engineering and BI development.• Mentored and coached junior data engineers on technical skills and domain knowledge.• Built Python applications and services using Kafka, RabbitMQ, Hadoop, Spark, Spark Streaming.• Defined user stories and acceptance criteria based on business requirements and user feedback.• Prioritized and planned sprint goals and deliverables with the development team using Scrum methodology.• Conducted user testing and demos to validate product features and functionality.• Coordinated with clients to understand their needs and expectations.• Documented the project requirements, design, testing and deployment.
Listed skills include Microsoft Silverlight, Microsoft Prism Library, Azure Sql Database, Windows Communication Foundation, and 21 others.