Ajee Ibraheem Software Engineer | Insight Global | Ex Amazonion/ThoughtWorker/

Lead Software Engineer

Insight Global

Oct 2024 - Current (1 year 11 months)

- Led the design and delivery of AI-driven procurement and workflow automation systems using TypeScript, Node.js, and AWS Serverless (Lambda, EventBridge, CDK). - Built secure React Native mobile dashboards and React web interfaces for real-time contract approvals, spend analytics, and supplier risk insights, showcasing the effective use of React Native in enhancing user experience. - Developed backend microservices in Node.js, integrating GPT-4-powered document summarization, audit tracking, and workflow orchestration, demonstrating the critical role of Node.js in backend development. - Integrated Cloudflare edge caching and API routing to ensure sub-200 ms global response latency, optimizing performance and user satisfaction. - Automa

AWS Developer

Prime Video Amazon Studios

Oct 2023 - Mar 2025 (1 year 6 months)

As an AWS Developer, I was responsible for designing and implementing scalable cloud-based solutions that enhanced operational efficiency and performance. My role involved developing an internal Content & QoE Operations Console using React and TypeScript, where I utilized hooks, RTK query, and form/state patterns to create a user-friendly interface. I implemented advanced features such as virtualized tables, optimistic updates, and role-based views to improve user experience. I also focused on real-time updates by implementing live session and metric updates over WebSockets and SSE, which included features for presence tracking, active streams, and error spikes. Additionally, I built reconnect and backoff logic, client-side deduplication,

Software Consultant

Beyondsoft

Oct 2023 - Mar 2025 (1 year 6 months)

- Designed and implemented RESTful APIs using ASP.NET Core 6/7, incorporating API versioning, Swagger/OpenAPI documentation, and JWT/OAuth2 authentication (Azure AD), which significantly improved P95 request latency and adherence to error budgets. - Applied object-oriented design principles (OOD) such as SOLID, Clean Architecture, and Domain-Driven Design (DDD) with CQRS via MediatR to effectively isolate domain, application, and infrastructure layers, ensuring robust application architecture. - Developed data access layers utilizing Entity Framework (EF) Core and optimized performance with Dapper for critical paths; authored complex T-SQL queries including stored procedures, window functions, and MERGE upserts, while enhancing database p

Cloud Native Developer

PeerIslands

Oct 2021 - Jun 2023 (1 year 9 months)

As a Cloud Native Developer, I implemented robust ELT pipelines utilizing Snowflake and PostgreSQL, employing Python (Pandas/PySpark) and Node.js loaders to efficiently ingest data from S3, webhooks, and partners. This data was processed into Snowflake using Stages, Snowpipe, and Tasks, alongside dbt incremental models complete with tests and documentation. I also integrated freshness checks and automated backfills to ensure data integrity. In the realm of streaming and reliability, I developed idempotent loaders featuring retry and dead-letter queue (DLQ) semantics, schema validation, and S3 object-lock for replay, which led to a significant reduction in failures by over 35% quarter-over-quarter. For the dbt transformation layer, I const

Senior Consultant

Thoughtworks

Aug 2021 - Oct 2021 (3 months)

- Led the design and implementation of advanced consulting solutions, focusing on real-time user interfaces using TypeScript, React, and SignalR, which delivered live dashboards and operational consoles with server-pushed updates, achieving less than 200 ms P95 update latency and 99.95% session stability. - Developed event-driven services utilizing RabbitMQ, where I designed message contracts, routing keys, and retry policies, ensuring at-least-once processing and idempotency, which resulted in a 40% reduction in incident noise. - Standardized data access through the use of an ORM, specifically TypeORM for both Microsoft SQL Server and Oracle backends, which enabled multi-database support and eliminated handwritten SQL for 70% of use case

Software Engineer

Pitney Bowes

Mar 2020 - Aug 2021 (1 year 6 months)

- Developed and maintained robust software solutions, focusing on the ingestion and processing of HVAC/IoT telemetry and work-order data through the creation of ELT pipelines utilizing Python and Snowflake. - Implemented dbt for data modeling and governance, establishing staging, intermediate, and mart layers, along with rigorous testing and documentation to ensure data integrity and lineage. - Enhanced quality and observability by introducing source freshness checks, anomaly detection rules, and Slack alerting, while conducting nightly validations to maintain service level agreements (SLAs). - Optimized performance and cost by clustering hot tables, pruning partitions, and tuning warehouses, achieving a ~20% reduction in warehouse spend

Full Stack Developer

Johnson Controls

Aug 2017 - Mar 2020 (2 years 8 months)

- Developed and maintained full-stack applications, ensuring seamless integration between front-end and back-end systems to deliver high-quality user experiences. - Built ELT pipelines utilizing Python and Snowflake to ingest HVAC/IoT telemetry and work-order data from various sources, including APIs, webhooks, and CSV drops to S3, employing Snowpipe, Stages, and Tasks with idempotent loaders and backfill jobs to ensure data integrity. - Implemented dbt for data modeling and governance, creating staging, intermediate, and mart layers, along with snapshots, tests for data quality, and comprehensive documentation to maintain lineage and facilitate collaboration. - Enhanced quality and observability by adding source freshness checks and ano

Ajee Ibraheem

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