Python Engineer

Zealous (former Instigate Mobile)

About the Project

Automation framework in Python for executing, analyzing, and resolving millions of customer-generated SQL statements for Big Data.

• Cloud Computing

Responsibilities

- Created functionality to ensure the compatibility of existing applications with modern cloud data warehouse technologies. - Designed the framework to work with a big data platform for databases, enhancing interoperability with cloud data warehouses. - Implemented automated analysis of SQL statement results from various cloud databases (Azure Synapse, Amazon Redshift, Google BigQuery) and compared them to results from Teradata. - Ensured that the product consistently delivered identical results across different database platforms. - Constructed mechanisms to identify and fix issues within the SQL statements to ensure optimal performance and accuracy.

OneMarketData

About the Project

Product for real-time alerting leveraging high-performance data management and analytics.

• Fintech

Responsibilities

- Created features to enable trading supervisors and compliance officers to zero in on, investigate, and act on anomalies. - Utilized the OneTick proprietary tick database and stream processing platform to build the OneTick Surveillance solution. - Designed robust and configurable built-in alerts to support executing brokers, including layering and spoofing, quote stuffing, wash trading, marking the close, and more. - Combined built-in alerts with the capability for clients to create custom alerts, ensuring continuous examination of order flow. - Implemented advanced visualizations and case management features to enhance the user experience. - Integrated Docker for containerization of the application.

Freelancing

About the Project

Main projects: 1. IoT devices with integrated AI for elderly care 2. REST API server on DRF for an NFT marketplace 3. Slack bot for internal usage, adhering to non-disclosure agreements (NDA)

• AI
• Blockchain

Responsibilities

Project 1: Designed data processing capabilities on IoT devices to handle sensor data and AI-driven insights. Created a full-stack web application using Flask for managing and interacting with IoT devices. Project 2: Established a live connection between the Algorand blockchain and the marketplace to maintain up-to-date statuses for NFTs and other assets. Integrated Redis for caching and improving the speed of data retrieval and processing. Project 3: Implemented bot features to enhance internal communication and streamline processes. Containerized the bot using Docker, facilitating deployment and management. Deployed the bot on a cloud platform to ensure accessibility.