Driven and versatile backend big data engineer with a proven track record in building scalable data solutions and leading high-performing teams. Seeking opportunities to leverage expertise in backend development. Excellent team player with effective communication and collaboration abilities.
· Led data engineering projects.
· Utilizes FastAPI for building high-performance, easy-to-use RESTful and Streaming APIs .
· Leverages Pydantic for data validation and settings management.
· responsible for code review, CI/CD implementation, pull request approval.
· Proficient in containerization technologies like OpenShift, Kubernetes (K8s), and Docker for deploying.
· Designs microservices for RAG projects, using SAGA pattern.
· continuing served as a Backend Data Engineer.
· Developed data science panels for machine learning models, enabling efficient data analysis.
· working with big data technologies including Hadoop ecosystem, PySpark, HDFS, Kafka, and Elasticsearch.
· Utilized containerization techniques and object-oriented programming for creating a feature store.
· Employed cloud platforms (AWS, Azure, Google Cloud) for data engineering purposes, including data storage.
· Participated in agile development methodologies, including sprint planning, daily stand-ups, and retrospectives.
· Develop and maintain backend systems and web applications with RESTful API and CRUD architecture.
· Develop, Develop using Flask framework, SQL Alchemy, pandas and NumPy.
· Built MS SQL databases and table structures
Python SQL
Flask FastAPI
RESTful API, Streaming
MySQL MSQL elasticsearch MongoDB
Pandas NumPy SQLAlchemy Pydantic
Hadoop-ecosystem PySpark Kafka
AWS Azure GCP
CI/CD Git