Led end-to-end enterprise data engineering initiatives across diverse domains: Product, Marketing, Sales, Finance, and HR.Collaborated seamlessly with R&D units and business stakeholders to uncover data-driven insights and opportunities organization-wide.Formed and managed a cohesive global team of Data Engineers and BI Engineers spanning US, IL, and India locations.Pioneered the implementation of cutting-edge data technologies and methodologies, embedding best practices throughout the data landscape.

Tomorrow.io is helping Countries, Businesses, and Individuals better manage their Climate Security Challenges. Fully customizable to any industry impacted by the weather, customers around the world including Uber, Delta, Ford, National Grid and more use Tomorrow.io to dramatically improve operational efficiency. Tomorrow.io was built from the ground up to help teams predict the business impact of weather, streamline team communication and action plans, improve productivity, and optimize profit margins.Space: In case you have not heard, we are also going to space with our Operation Tomorrow Space initiative. We are building the first-of-its-kind proprietary satellites equipped with radar, and launching them into space to improve weather forecasting technology for everyone on Earth.How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

Spearheaded the inception and growth of a global team of Data Engineers and BI developers, orchestrating the establishment of 4 high-performing teams comprising 17 engineers and 1 DBA.Undertook a comprehensive overhaul of the company's BI infrastructure, orchestrating the redesign of data pipelines, data models, and dashboards.Pioneered the application of industry-leading standards by leveraging modern technologies such as Apache AirFlow, Snowflake, Fivetran, and more, fostering optimal data practices.Assumed complete accountability for the organization's BI infrastructure, embodying end-to-end responsibility.Guided the advancement of embedded analytics within the company's platform, contributing significantly to enhanced user experiences and insights.Played a pivotal role in harmonizing acquired data through strategic integration efforts, fostering seamless collaboration and consolidation.

Directed the advancement of a high-performing data engineering development team during a critical phase of organizational expansion.Founded and nurtured a globally distributed data team, strategically positioning 3 engineers in TLV and 3 in NYC, while instituting efficient work processes and methodologies.Orchestrated seamless migration endeavors to Snowflake and Airflow, streamlining data operations and fortifying system efficiency.Revitalized the data landscape by restructuring and establishing novel data models tailored to the needs of the growth organization, resulting in a centralized source of truth.Demonstrated exemplary leadership in the successful execution of a pivotal project aimed at quantifying and enhancing WeWork's sales funnel performance.

Constructed and oversaw the development of BI infrastructure, ETL processes, and AWS RedShift Data Warehouse, bolstering the company's data capabilities.Manage a team of 5 skilled developers throughout all development phases, who helped drive the organization's data-centric transformation.Formulated and implemented efficient working processes and methodologies, enhancing collaboration and productivity across teams.Fostered transparency and comprehension across multiple company facets including Product, R&D, Finance, Sales, and Account Management.Championed the successful integration of novel models and cutting-edge technologies (RedShift, AWS, Airflow, Docker), contributing significantly to the company's technological evolution.

Characterization of data sources, ETL processes, reports, and dashboard developmentMain Projects:SimilarWeb : Implementation of end-to-end ETL processes in a multi-system environment and building DWH from scratch using AWS RedShift ZAP Group : Implementation of end-to-end DWH processes in an integrated environment and development of complex BI models according to customer needs

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• Data analysis • Implementation of BI software for production department.

preparation of platform for Consolidation of Financial Statements