Lead development and implementation of data architectures on AWS and GCP, optimizing cloud resources for clients in the US, UK, and Canada.Demonstrate expertise in ETL development, utilizing industry-leading tools for efficient data extraction,transformation, and loading.Integrate API solutions into data pipelines, enhancing connectivity and enabling real-time data exchange.Contribute to data warehousing initiatives, implementing best practices for efficient data organization and retrieval.Collaborate with cross-functional teams to translate complex business requirements into actionable insights, fostering informed decision-making for clients.

Experienced Senior Consultant Data Analytics and Technical Lead specializing in Google Cloud Platform (GCP) data engineering, with expertise in Neo4j graph database. Leading a team of data engineers, I design, build, and maintain advanced data processing systems on GCP, leveraging the power of graph databases. I have hands-on experience in implementing data pipelines, integrating diverse data sources, ensuring data quality and reliability, and troubleshooting data processing issues.With a deep understanding of Neo4j graph database, I utilize its capabilities to unlock valuable insights from complex interconnected data. I harness the power of graph data modeling and query languages to enable advanced analytics, recommendation systems, fraud detection, and network analysis.As a Technical Lead, I provide guidance and mentorship to the team, driving excellence in graph-based data engineering solutions. My expertise extends to monitoring system performance, implementing robust security measures, and optimizing workflows to ensure efficient data processing and protect sensitive information.I have a proven track record of successfully driving data analytics initiatives, providing strategic guidance, and delivering impactful solutions to clients. My strong analytical and problem-solving skills enable me to translate complex data into valuable insights for informed decision-making. I thrive in dynamic environments, collaborating with cross-functional teams to deliver high-quality and innovative data-driven solutions.

Experienced Consultant Data Analytics specializing in Google Cloud Platform (GCP) data engineering, with expertise in Neo4j graph database. Leading a team of data engineers, I design, build, and maintain advanced data processing systems on GCP, leveraging the power of graph databases. I have hands-on experience in implementing data pipelines, integrating diverse data sources, ensuring data quality and reliability, and troubleshooting data processing issues.With a deep understanding of Neo4j graph database, I utilize its capabilities to unlock valuable insights from complex interconnected data. I harness the power of graph data modeling and query languages to enable advanced analytics, recommendation systems, fraud detection, and network analysis.I have a proven track record of successfully driving data analytics initiatives, providing strategic guidance, and delivering impactful solutions to clients. My strong analytical and problem-solving skills enable me to translate complex data into valuable insights for informed decision-making. I thrive in dynamic environments, collaborating with cross-functional teams to deliver high-quality and innovative data-driven solutions.

Designed and developed production-grade Enterprise Data Warehouses (EDW) for multiple clients, leveraging various databases and ETL tools to ensure efficient and reliable data integration.Conducted comprehensive analysis of disparate source systems, extracting valuable insights and gathering information for seamless integration into the EDW.Executed rigorous test cases to identify and resolve potential issues with ETL jobs, ensuring the accuracy and integrity of the data while maintaining data sanity.Developed and implemented a robust Semantic Layer on the EDW, enabling intuitive and user-friendly reporting capabilities for clients and stakeholders.Proactively identified and addressed data quality issues, employing industry best practices and creating a comprehensive Data Quality document to establish data governance and ensure data accuracy and consistency.In these responsibilities, I demonstrated my expertise in designing and developing Enterprise Data Warehouses, integrating data from diverse sources, and ensuring the reliability and quality of the data. I leveraged my skills in ETL processes, database technologies, and data analysis to create effective solutions that empower clients to make informed decisions based on accurate and meaningful insights.

Responsibilities:Developed customized ETL jobs based on specific requirements, ensuring seamless data extraction, transformation, and loading processes.Conducted in-depth analysis of multiple disparate source systems to identify data patterns, relationships, and opportunities for integration into enterprise solutions.Designed and developed robust and scalable Enterprise Data Warehouses (EDW) for multiple clients, utilizing a variety of databases and ETL tools to ensure efficient data storage, organization, and retrieval.Created complex business intelligence (BI) reports and interactive dashboards that provided clients and end-users with actionable insights and a holistic view of their data.Integrated BI reports seamlessly into clients' C# applications using REST APIs, enhancing the user experience and enabling real-time access to critical information.In these responsibilities, I showcased my proficiency in developing ETL jobs, performing comprehensive analysis on disparate data sources, and designing and implementing Enterprise Data Warehouses. Additionally, I demonstrated my ability to create sophisticated BI reports and dashboards, as well as integrate them seamlessly into client applications. By leveraging my technical expertise and understanding of business requirements, I delivered data-driven solutions that empowered clients to make informed decisions and gain valuable insights from their data.