• Proven history of building large-scale data processing systems and serving as an expert in data warehousing while working with a variety of database technologies.
• Experience architecting highly scalable, distributed systems using different open source tools as well as designing and optimizing large, multi-terabyte data warehouse.
• Able to integrate state-of-the-art Big Data technologies into the overall architecture, working closely with business users to understand line of business requirements design efficient and effective solutions on Hadoop responsible for planning and operationalizing Hadoop clusters and monitoring cluster heartbeats, provide Infrastructure recommendation, capacity planning and lead a team of developers through the construction, testing and implementation phase.
• Consulted with business partners and made recommendations to improve the effectiveness of Big Data systems, descriptive/ prescriptive analytics systems.
• Integrated new tools and developed technology framework/prototypes to accelerate the data integration process and empower the deployment of predictive analytics.
• Working knowledge of machine learning and predictive modeling.
• Experience designing, reviewing, implementing and optimizing data transformation processes in the Hadoop and ecocystems.
• Able to consolidate, validate and cleans data from a vast range of sources – from applications and databases to files and web services.
• Capable of extracting data from an existing databases, Web sources or APIs.
• Experience designing and implementing fast and efficient data acquisition using Big Data processing techniques and tools
• Experience architecting highly scalable, distributed systems using different open source tools as well as designing and optimizing large, multi-terabyte data warehouse.
• Able to integrate state-of-the-art Big Data technologies into the overall architecture, working closely with business users to understand line of business requirements design efficient and effective solutions on Hadoop responsible for planning and operationalizing Hadoop clusters and monitoring cluster heartbeats, provide Infrastructure recommendation, capacity planning and lead a team of developers through the construction, testing and implementation phase.
• Consulted with business partners and made recommendations to improve the effectiveness of Big Data systems, descriptive/ prescriptive analytics systems.
• Integrated new tools and developed technology framework/prototypes to accelerate the data integration process and empower the deployment of predictive analytics.
• Working knowledge of machine learning and predictive modeling.
• Experience designing, reviewing, implementing and optimizing data transformation processes in the Hadoop and ecocystems.
• Able to consolidate, validate and cleans data from a vast range of sources – from applications and databases to files and web services.
• Capable of extracting data from an existing databases, Web sources or APIs.
• Experience designing and implementing fast and efficient data acquisition using Big Data processing techniques and tools
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