Puaro is an AI-native application security platform designed to eliminate the risks of secret leaks and misconfigurations in modern DevSecOps workflows.

• Innovation in Accuracy: Architected the proprietary "AI Context Engine," a breakthrough in AppSec that utilizes deep code-context analysis to achieve a <5% false positive rate—effectively solving the "alert fatigue" problem in secret detection.
• Strategic R&D Leadership: Driving the "zero-to-one" product roadmap, overseeing the engineering execution and architectural design of a scalable, cloud-native security platform.
• Product Strategy: Aligning technical milestones with market-entry goals to capture market share in the competitive DevSecOps and ASPM (Application Security Posture Management) space.
• Operational Excellence: Built a high-performance R&D culture focused on rapid iteration, real-time security scanning, and seamless CI/CD integration.

Serving as a trusted technical advisor to enterprise clients, translating high-level business objectives into robust data and AI architectures. Leading cross-functional R&D efforts to modernize legacy systems, optimize costs, and unlock new revenue streams through advanced analytics.

• Strategic Architecture: steering the design of scalable data ecosystems, ensuring compliance with enterprise governance while enabling agility for product teams.
• Profit & Efficiency: Reduced platform TCO by 24% through infrastructure optimization and GenAI-driven automation, directly improving the client's bottom line.
• Team Leadership: Mentoring solution architects and engineering leads, fostering a culture of technical excellence, and driving the adoption of best practices in Data Engineering and MLOps.
• Scale & Performance: Designed high-throughput batch and streaming pipelines that support analytics for millions of users, increasing system reliability to 99.9%.

Tango.me is a livestreaming network where Broadcasters get the tools they need to manage & grow their broadcasting business.

The main objective of the project is to attract new users and stay competitive in the social media market. The task is to build a fully data-driven platform that processes raw data, cleans, enriches, and synchronizes it across various databases—including MPP DWH, graph databases, relational, and NoSQL systems. By improving data quality, the company is able to make better data-driven decisions while taking advantage of comprehensive data insights and analytics capabilities.

• Created and launched ETL pipelines that process ~ 3TB of batch and streaming raw data on a daily basis from Google Firebase and Google Analytics platforms. The data is used by business departments in campaign optimizations, ML algorithms, recommendation systems, and more.
• Collaborated with C-level management to gather business requirements and conducted POCs to suggest optimal solutions for data-driven applications, while focusing on architecture, business policies, standards, costs and more.
• Architected and launched a data-oriented application to address the application's virtual economy specifications and financial regulatory compliance. The solution includes transformations, reconciliation, and cleansing of raw data, as well as decommissioning redundant data sources to increase data governance, clarity, and quality. While working on this project, I also led and coordinated a team of 5 data analysts.

Worked as a lead software engineer on a Roku streaming project. Roku pioneered streaming for TV.

The main objective of the project is to help the company understand user behavior and provide relevant content. The task is to create new advertisement forecasting and recommendation systems based on a real-time data bidding approach.

• Collaborated with C-level management to identify business needs and translate them to technical requirements.
• Defined KPIs and metrics to address digital marketing activities, client’s engagement, and campaigns efficiency.
• Designed and created data models, data marts, and staging databases to transform raw data into usable warehousing data.
• Designed and developed logic and components needed to move data through all ETL pipeline steps and loading the data into BI dashboards and reports.
• Participated in EPAM internal activities such as resource management, interviewing, course authoring, and training.
• Successfully graduated Solution Architect course.
• Traveled to client sites in the US and participated in pre-sales activities, presentations, and discussions.

More than 13,000 organizations globally – including more than 90 percent of the Fortune 500 – rely on RSA technology to address the challenges of security, risk management and fraud prevention in the digital era.

The main task was to increase the effectiveness of ML algorithms to detect and prevent fraudulent transactions in the online e-commerce world. While following strict fintech SLAs, compliance, and data governance requirements, I dramatically improved data flow processes and created several HA/DR solutions.

As a data engineer, I was responsible for providing solid and reliable solutions to different business requirements that involve data in all its aspects.

• Participated in design and development of DWH and BI solutions to address online fraud detection analysis complexities.
• Reduced established ETL pipelines and production utilization time from hours to minutes while increasing data quality and retention.
• Designed and implemented logic and scripts for BI reports that consume terabytes of data daily.
• Designed and implemented a disaster recovery solution for production environments, meeting customers' SLAs.
• Reviewed and consulted on architectural and development decisions with DevOps and R&D team members to follow data governance and regulatory compliance processes and to promote a collaborative environment.

Waves Audio is the world’s leading developer of audio plugins and signal processors for the professional and consumer electronics audio markets.

As a Senior Database and BI Developer, I was responsible for all data driven projects at the company, from planning and designing to full production implementation.

• Managed MSSQL Servers; AWS – Redshift and DynamoDB; and MongoDB production, mission-critical database environments 24/7.
• Tuned T-SQL Code, SQL Server configurations and Operating Systems for optimal performance in Cloud and On-Premises infrastructures.
• Designed and implemented conceptual, physical and logical OLTP and DWH models in Cloud and On-Premises infrastructure.
• Created an ETL pipeline to regularly transfer terabytes of logging data into the DWH for a newly established platform analysis, using AWS – Redshift, S3, SSIS, and MSSQL Server.
• Established and deployed BI reports to highlight areas of interest to senior management, using T-SQL, SSRS, QlikSense and QlikView.
• Led the engineering team to migrate the production BI platform from QlikView to Qlik Sense while following agile methodology and taking the role of a hands-on database engineer.
• Designed, developed, and launched a fully dynamic DWH with a flexible schema and ETL pipelines to address software supply chain complexity and extract business insights from raw data. With comprehensive Qlik Sense dashboards and near-real-time data processing, this solution is used by key stakeholders daily in business decision-making.

CastUP (Acquired by Cisco) was a leading developer of IP streaming media products and Content Distribution Networking (CDN) systems.

As a part of R&D team that included 4 departments, I participated in variety of database development and administration projects and worked with TB of data on a daily basis.

• Redesigned established SSIS packages to consolidate multiple processes into a single, repeatable, stepped ETL capable of incorporating data batches into DWH.
• Established and deployed BI reports for business analytics purposes, using T-SQL, SSRS.
• Monitored, analyzed and optimized performance of T-SQL Code, SSIS Packages and BI Reports.
• Designed and Developed database layer functionality for web-application components.
• Designed and developed a fully automated monitoring system that was integrated into one of the company's applications. This utility alerts the production support group about possible upcoming database issues and provides basic handling instructions.

Traffilog is a provider of telematics solutions for the auto manufacturer, insurance, SVR, and fleet management industries.

As part of the SQL Server DBA team, I was responsible for ongoing administration of SQL Servers and collaborated with the R&D team on the development of database components for web applications based on complex business and technical requirements.

• Developed components for Web-application, using - T-SQL Stored Procedures, Views, Functions and Triggers.
• Monitored and optimized SQL Server performance using SQL Server Profiler, execution plans, Performance Monitor, DMVs, and DBCC commands.
• Responsible for ongoing SQL Server infrastructure administration tasks—backup and restore operations, index maintenance, statistics updates, database integrity checks, security setup, and storage management.
• I also helped free valuable storage space by designing and developing a fully automated and customizable archiving utility that exports data from databases to CSV files, compresses it, and transfers the zipped files into archive storage.