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Title Senior Python Developer
Target Location US-NY-Brooklyn
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Candidate'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

Software Developer (Python, javaScript)                                 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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