8-10 years in backend and data engineering experience with a strong focus on microservices and distributed systems.Experience in AWS (EC2, Lambda, RDS, S3, DynamoDB).Experience in Azure (Azure Functions, Blob Storage, Virtual Machines).Experience in GCP (Cloud Functions, Cloud Storage, Compute Engine).Experience in Python and frameworks like Flask, FastAPI, or Django.Experience in ETL tools (Apache Spark, Apache Airflow, AWS Glue, Google Dataflow).Experience in data warehouses (Amazon Redshift, Google BigQuery, Snowflake).Experience in big data platforms (Hadoop, Apache Kafka, Apache HBase).Experience in asynchronous and synchronous integration patterns and frameworks (RESTful APIs, GraphQL, WebSockets).Experience in system design patterns, caching, rate-limiting, and queuing mechanisms.Experience in backend and server-side technologies such as web frameworks (Flask, Django, FastAPI), messaging protocols (HTTP, AMQP), database systems (SQL, NoSQL), caching systems (Redis, Memcached), serverless computing (AWS Lambda, Azure Functions), containerization and orchestration (Docker, Kubernetes).Experience in microservices architecture and design principles.Experience with version control systems such as Git and CI/CD pipelines.