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Click here or scroll down to respond to this candidateCandidate's Name
Senior Python Developer
PHONE NUMBER AVAILABLE
EMAIL AVAILABLE
Brooklyn, New York, Street Address , USA
SUMMARY
Passionate Python developer with 7 years of experience in building scalable applications, optimizing
system performance, and automating workflows. Skilled in using frameworks like Django and Flask
to create robust, dynamic web applications. Extensive experience in designing and implementing
RESTful APIs, microservices, and cloud-based solutions using AWS and Google Cloud. Proficient in
containerization technologies like Docker and Kubernetes, and experienced in setting up CI/CD
pipelines for seamless code integration and deployment. A collaborative team player, known for
driving innovation and delivering high-quality, efficient solutions in fast-paced environments while
staying up-to-date with evolving technologies.
TECHNICAL SKILLS
Programming Languages: Python, JavaScript, SQL, Bash, Shell scripting,
Web Development: Django, Flask, FastAPI, HTML, CSS, JavaScript, React, Angular, webRTC
Data Analysis: Pandas, NumPy, Matplotlib, SciPy, Scikit-learn, TensorFlow, Keras, PyTorch
Database Management: PostgreSQL, MySQL, MongoDB, SQLite, Redis, Cassandra, Oracle, SQL
Server
Cloud Services: AWS (EC2, S3, Lambda), Azure (Functions, Blob Storage), GCP (Compute Engine,
Cloud Storage)
Containerization and Orchestration: Docker, Kubernetes, OpenShift
Version Control: Git, SVN, Mercurial
CI/CD: Jenkins, GitLab CI, Travis CI, CircleCI, Azure DevOps
Data Visualization: Power BI, Tableau, matplotlib, seaborn, Plotly
Automation and Scripting: Bash, Python scripting, Ansible, Puppet, Chef
Monitoring and Observability: Grafana, Prometheus, ELK Stack (Elasticsearch, Logstash, Kibana),
Nagios
Big Data Technologies: Hadoop, Spark, Kafka, Hive, HBase, Pig, panda, D3.js, Plotly
ETL Tools: Apache Airflow, dbt, Talend, Informatica, SSIS
Data Validation: Great Expectations, Deequ
APIs and Microservices: RESTful APIs, GraphQL, gRPC, OpenAPI, Swagger
Testing Frameworks: PyTest, UnitTest, Selenium, JUnit
Networking: TCP/IP, HTTP, DNS, SSL/TLS, Load Balancing, VPN
Security: OAuth, JWT, SSL/TLS, IAM, penetration testing, vulnerability scanning
Development Environments: VSCode, PyCharm, Jupyter Notebooks, Eclipse
EDUCATION
University of Florida - Gainesville, FL
Bachelor of Computer Science
2013 - 2017
PROFESSIONAL EXPERIENCE
Senior Python Developer August 2021 - Present
Zapier
Developed a scalable microservices architecture with FastAPI, enhancing system
performance to handle increased traffic efficiently.
Led the migration to AWS cloud infrastructure, optimizing resource usage and achieving a
20% reduction in costs while boosting system reliability and scalability.
Designed and implemented CI/CD pipelines using Jenkins and Docker, accelerating
deployment processes by 35% and ensuring consistent, automated integration and
delivery.
Optimized PostgreSQL databases and integrated them with microservices, improving data
access speed and application responsiveness.
Technologies: FastAPI, PostgreSQL, Docker, AWS, Jenkins
JavaScript Developer (PYTHON) Aug 2018 - July 2021
pennycoders
Designed and implemented a large-scale data processing pipeline using Flask, which
streamlined data workflows and improved retrieval times by 30%, handling complex
transformations and aggregations efficiently.
Developed robust RESTful APIs for seamless communication between frontend and
backend systems, ensuring reliable data exchange and integration across multiple
services.
Enhanced SQL query performance and optimized database schema in PostgreSQL,
resulting in a 40% reduction in response times and boosted overall application
performance.
Utilized Docker for containerization of development and production environments,
ensuring consistent deployments and simplifying environment management. Integrated
Redis for efficient caching and enhanced data retrieval speed.
Technologies: Flask, PostgreSQL, Docker, Redis, Git
Associate Developer May 2017 - Aug 2018
elitemente
Contributed to the development of a web-based CRM platform using Django,
implementing key features and functionalities that boosted user engagement by 25%.
Emphasized clean, modular code and scalable architecture.
Collaborated on creating interactive, custom dashboards for real-time analytics using
Plotly, providing actionable insights and enhancing data visualization for end-users.
Optimized PostgreSQL database queries and indexing strategies, resulting in a 20%
improvement in query performance and faster data retrieval for users.
Utilized Pandas for data manipulation and analysis, ensuring accurate data processing
and reporting within the CRM system.
Technologies: Django, PostgreSQL, Pandas, Plotly
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