I am a senior software engineer with over 10 years of experience in web development, data engineering and DevOps engineering. I have a passion for building scalable, reliable and efficient data-driven applications using a wide range of technologies and best practices. I have extensive experience in developing web applications using Python, Django and FastAPI frameworks. I have also used Celery, Redis, PostgreSQL, MongoDB, ClickHouse, Elasticsearch and Neo4j to implement various features such as asynchronous tasks, caching, database management, search engine, graph database and analytics. I have deployed and maintained these applications on Kubernetes clusters using Docker, Helm and Terraform. I have also worked on data engineering projects involving data ingestion, processing, analysis and visualization. I have used tools such as Apache Airflow, Apache Spark, Apache Kafka and Apache Hadoop to handle large-scale data pipelines. I have also used Python libraries such as Pandas, NumPy, SciPy and Matplotlib to perform data manipulation and exploration. I have also been involved in DevOps engineering tasks such as setting up CI/CD pipelines, monitoring systems, logging systems and alerting systems. I have used tools such as Jenkins, Prometheus, Grafana, ELK stack and PagerDuty to automate and optimize the development and deployment processes. In addition to my backend and data skills, I also have experience in frontend development using HTML/CSS, JavaScript and React. I have also used C++ and Java for some low-level programming tasks. I am always eager to learn new skills and technologies to enhance my professional growth and deliver high-quality solutions. I am also a team player who can collaborate effectively with other engineers, product managers and stakeholders. I am looking for new opportunities to apply my skills and experience in challenging and rewarding projects.
