Noam Or
Principal Data Engineer | AI, Real-Time & Large-Scale Data Platform Design
- Role
- Principal Data Engineer at Kajeet
- Location
- Marietta, GA, US
- LinkedIn followers
- 500 followers
About Noam Or
Principal Data Engineer focused on building and designing AI, real-time, and large-scale data platforms in production. I am deeply hands-on, owning systems end to end—from architecture and core coding to deployment, optimization, and day-to-day operations.At Kajeet, I help power IoT connectivity and analytics platforms used by schools, healthcare providers, government organizations, and enterprise customers. My work spans real-time streaming, data platforms, optimization, and AI-assisted development, with a strong emphasis on scalability, reliability, and measurable business impact.What I do:* Design and build large-scale data platforms combining batch, streaming, and dimensional data models.* Build real-time and low-latency pipelines using Apache Flink, Kafka, NiFi, and AWS Kinesis.* Develop AI-powered systems for reconciliation, optimization, analytics, and decision support.* Write production-grade Python and Java code, including Python SDKs running directly on wireless routers (Cradlepoint) and integrating with cloud services.* Lead hands-on development of reconciliation and rate plan optimization systems, delivering significant cost savings and improved data integrity.* Use advanced AI prompting (Cursor, Codex, LLMs) to accelerate system design, code generation, refactoring, and production delivery across multiple platforms.Technical focus:* Languages: Python (expert), Java, SQL* AI & AI-Assisted Development: Advanced AI prompting, Cursor, Codex, LLM-assisted system and code design* Streaming & Analytics: Flink, Kafka, NiFi, Kinesis, Druid* Databases: PostgreSQL, Oracle, Redshift* Cloud & Infrastructure: AWS (Lambda, Glue, Kinesis, DynamoDB, SNS, SQS, SES, API Gateway, CDK), Docker* Data Modeling & BI: Dimensional modeling, star schemas, SCDs, TableauI am a builder by nature—equally comfortable designing systems and writing core code. Previously recognized as an Ericsson Key Contributor (Level: High) and consistently rated in the top performance tier at Kajeet.skills: Principal Data EngineeringData Platform DesignReal-Time Data ProcessingAI-Assisted DevelopmentPythonStreaming Data ArchitecturesApache FlinkAWS KinesisLarge-Scale Data SystemsDistributed SystemsData ReconciliationOptimization SystemsLLM Prompt EngineeringCursor (AI-Assisted Coding)OpenAI CodexApache KafkaApache NiFiAWS LambdaData PipelinesDimensional Data ModelingStar SchemaPostgreSQLJavaAWS GlueAmazon S3DruidDockerAPI GatewaySQLTableau
Experience
Principal Data Engineer
Jun 2019 — Present · Atlanta, GA, US
Senior Data / AI Engineer – Telecom & IoT AnalyticsAI-first engineer specializing in large-scale data platforms, real-time systems, and AI-assisted product development across telecom and IoT.AI-Powered Platforms & Tools* Built an AI-powered reconciliation system processing 1M+ device records, identifying hundreds of thousands of discrepancies in days instead of weeks, with a conversational AI assistant for instant, data-backed operational insights.* Developed AI-assisted rate plan recommendation and optimization engines aligned to cellular carriers, driving multi-million-dollar cost reductions.* Created a generic AI bill analysis system capable of ingesting any PDF bill and answering arbitrary questions via chat.Real-Time & Streaming Systems* Built real-time router usage enrichment using Apache Flink (Java).* Major contributor to real-time IoT event pipelines spanning security logs, enrichment, AWS Kinesis, Druid analytics, and Tableau visualization.* Designed and implemented end-to-end router telemetry pipelines covering connection, location, and diagnostics data, flowing from Python SDKs through AWS API Gateway, Kinesis / Firehose, and into a PostgreSQL star-schema data warehouse.Cloud, Data & AI-First Development* Designed star-schema dimensional models and contributed to AWS S3 data lake architecture.* Built cloud-native alerting systems using AWS Lambda, Glue, SNS, SQS, and SES.* Expert in Cursor and Codex AI prompting, using advanced prompting techniques to rapidly design, generate, refactor, and productionize complex systems.Tech Stack: Python, Java, SQL, Apache Flink, AWS, PostgreSQL, Druid, NiFi, Tableau, AI/LLM Prompt Engineering
Education
Tel Aviv University, Israel
Double Major Degree, Computer Science and economics
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