Data Engineer with 14 years of extensive experience in designing, building, and optimising large-scale data architectures, pipelines, and infrastructure for high-impact, data-driven solutions.
- Experience with designing and implementing data integration solutions, data governance, and data security
- Experience with data warehousing, ETL, and data modelling, designing and implementing data pipelines, data storage solutions, and data visualization systems• Deep expertise in wide range of data technologies, including Business Intelligence Platform, T-SQL databases, and cloud platforms such as Azure. Proficient in Python and other key programming languages essential for efficient data processing and ETL development.
• Proven track record of creating and maintaining robust, scalable, and high-performance data ecosystems that support complex analytics, machine learning models, and real-time data processing, enabling businesses to extract actionable insights.
• Experienced in leading data engineering teams, providing technical guidance, mentoring senior engineers, and fostering a culture of innovation and best practices. Adept at collaborating with data scientists, analysts, and business stakeholders to deliver end-to-end data solutions.
• Expertise in optimising data workflows, ensuring data quality, security, and compliance, and implementing data governance frameworks that align with organisational goals.
• Versatile professional with experience across various industries, including Audit, Asset management, FMCG, BFSI and healthcare, consistently delivering data solutions that drive business growth, operational efficiency, and enhanced decision-making.
• Passionate about leveraging the latest technologies and methodologies to continuously improve data infrastructure and stay ahead in a rapidly evolving data landscape. Committed to driving innovation and pushing the boundaries of data engineering.
• Recognised for delivering data engineering solutions that have led to significant cost savings, revenue growth, and operational improvements, directly contributing to the success of the organisations.
- Strong understanding of data architecture concepts, methodologies, and frameworks
- Data visualization - Tableau, PowerBI, Qlikview
- Great exposure to DevOps tools and CI-CD pipeline, experience using version control tools like GIT, database concepts