At current and previous organisations, I work with insightful data to design our systems and solutions, I have statistical expertise, combined with curiosity and creativity. I work in an agile team where my role is focused on developing our Python ETL processes solution for the data which we gather from multiple internal/external sources and then deploys on the cloud to analyse and report. About Me:I am an Oracle SQL certified associate and have strong expertise in SQL, Azure and Aws cloud infrastructure where I primarily use azure data bricks, S3 buckets, and use Jenkins pipelines and kubernetes. My Roles and Responsibilities:I work with multiple teams while developing the solution and effectively communicate highly complex data trends to organizational leaders which help the company get the most from its data.In the previous organisation, due to my expertise in business knowledge as well on technical modules, I was promoted and moved to Germany where for 3 years I was wearing a dual hat role working as Product analyst and data engineer.While gathering requirements from clients during onshore time and at offshore time I was working with offshore teams in India, providing them requirements and leading from technical aspects, to solve business problems, building and maintaining the infrastructure to answer questions and improve processes as per clients requirements. Worked closely with our data science team to help build complex algorithms that provide unique insights into our dataI helped streamline our data workflows, adding value to our product offerings and building out the customer lifecycle and retention modelsWork closely with the data science and business intelligence teams offshore to develop data models and pipelines for research and reporting.Using agile software development processes to make iterative improvements to our systems.Modelling our front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysisBuilds data pipelines that clean, transform, and aggregate data from disparate sourcesDevelop models that can be used to make predictions and answer questions for the overall businessSkills:10 years of experience with Python, SQL, and data visualization/exploration toolsFamiliarity with the AWS and Azure ecosystem, specifically Azure Databrics, Amazon S3, kubernetes. Having strong Communication skillsI have ability to work on a dynamic, research-oriented team that has concurrent projects.