Kevin Ramazani

Delivered full-stack features using C++ and advanced software development, partnering across engineering and product teams to ship production-ready functionality for energy data platforms.

Designed and implemented full-stack Next.js dashboards for gas lift optimization and production variance review, translating complex energy datasets into practical decision views for non-technical users.

Developed robust ETL/ELT pipelines with Python, dbt, and Airflow/Dagster, incorporating incremental loads, data quality checks, and lineage to ensure reliable field and operational datasets for downstream analysis.

Built LLM-assisted retrieval tools for internal knowledge lookup and engineering document analysis, leveraging embeddings, vector search, evaluation checks, and human review to enhance data discovery and utility.

Improved data access patterns, query performance, service reliability, and operational visibility through careful indexing, API contracts, structured logging, and runbook-ready support practices.

Built Python/FastAPI services and data pipelines for privacy-conscious telemetry and internal analytics, providing engineering teams reliable access to clean operational data through clear API contracts.

Optimized Snowflake and PostgreSQL models with dbt transformations, SCD patterns, partitioning, and query tuning, significantly supporting reporting, experimentation, and ML feature analysis while reducing compute cost.

Evaluated early LLM and embedding-based retrieval prototypes for engineering support workflows, focusing on ingestion quality, chunking strategy, and repeatable evaluation.

Developed React/Next.js internal tools for monitoring and data exploration with role-based access, auditability, and a consistent user experience for technical and operations teams.

Led backend and data platform development for enterprise cloud applications using Python, Java, REST APIs, PostgreSQL/Oracle Database, and OCI/AWS services.

Designed normalized and dimensional data models for customer, account, and usage analytics, implementing incremental ETL, validation rules, and reproducible SQL transformations.

Modernized manual and batch-heavy workflows into API-driven services and web dashboards, significantly improving operational visibility for support, finance, and business teams.

Strengthened CI/CD, testing, and deployment practices with Docker, automated checks, and infrastructure-as-code patterns, resulting in more predictable releases across environments.

Owned system design reviews, incident follow-up, and integration planning, while mentoring mid-level engineers and balancing delivery speed with reliability and security requirements.

Built and maintained full-stack product features using Python, JavaScript, React/Next.js, SQL, and REST APIs for internal enterprise workflows.

Implemented database schema changes, indexing improvements, and query optimization for transactional and reporting features, ensuring correctness and maintainability.

Developed background jobs and service integrations for syncing customer and business data across internal systems, incorporating validation, retry logic, and clear failure handling.

Wrote comprehensive unit and integration tests, supported production incidents, and built the reliability discipline necessary for growth into senior ownership.