Shaker R

About Shaker R

Over 10 years of experience in the Software Development Life Cycle (SDLC), specializing in building applications, APIs, backend services, and full-fledged software using Python, Django, Flask, FastAPI, databases (PostgreSQL, MongoDB), and cloud services (AWS, Azure, GCP).• Proficient in Object-Oriented Analysis (OOA) and Object-Oriented Design (OOD) using UML and Agile/SCRUM methodologies for distributed applications.• Expertise in Python frameworks such as Django, Flask, FastAPI, and Pyramid, implementing MVC/MVT architecture and building robust RESTful APIs.• Hands-on experience with PySpark, linking Python APIs to Spark Core for distributed data processing and optimizing large-scale data workflows.• Strong command over Python libraries, including NumPy, Pandas, SciPy, Seaborn, Matplotlib, and TensorFlow, for data analysis and machine learning.• worked on automating repetitive tasks, writing scripts for infrastructure, CI/CD, network automation, testing, and process optimization using Python, Selenium, Ansible, PyTest, Netmiko, Nornir.• Proficient in database design, optimization, and management using Oracle, PL/SQL, and SQL for complex queries, stored procedures, and triggers.• Proficient in building and deploying containerized applications using Docker, Kubernetes, and AWS Elastic Container Service (ECS).• Hands-on experience with CI/CD pipelines using tools like Jenkins, GitLab CI/CD, and Azure DevOps to ensure seamless integration and delivery workflows.• Skilled in Infrastructure as Code (IaC) tools, including Terraform and CloudFormation, to automate infrastructure provisioning across AWS and Google Cloud Platform.• Strong background in ETL pipeline development using AWS Glue, Snowflake, and Databricks, enabling efficient data processing and transformation.• Expertise in relational databases (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra, Redis), with advanced experience in database design, indexing, and performance optimization.• Proficient in statistical modeling and machine learning algorithms, including Linear/Logistic Regression, Random Forest, SVM, and XGBoost, for predictive analytics.• Adept at integrating FastAPI with Pydantic for data validation, seamless API development, and integration with cloud platforms like AWS.• Experienced in Hadoop ecosystem tools like Spark, Hive, MapReduce, and YARN, optimizing performance for large-scale data processing.• Advanced scripting skills in Bash, Perl, and Python, automating regular tasks, infrastructure, and AWS workflows.

Experience

1. Sr Aws Python Developer

   CVS Health

   Mar 2024 — Present