Post Job Free

Resume

Sign in

Python Developer Business Intelligence

Location:
Texas City, TX
Posted:
March 14, 2024

Contact this candidate

Resume:

KAMALAKARA NAGA SANTHOSH KUMAR NAMA

ad4b78@r.postjobfree.com

832-***-****

Professional Summary:

Around 7+ years of experience in developing and implementing of software applications using Python, Django, and Flask.

Skilled Python developer with extensive experience using Django and Flask frameworks to build high-performance web applications.

Proficient in designing and implementing complex relational databases using SQL, ensuring efficient and scalable data management.

Knowledgeable in cloud technologies such as AWS, with expertise in deploying and managing applications on cloud platforms.

Familiar with DevOps tools and practices, including Jenkins automation, for streamlined development and deployment processes.

Designed and deployed ETL jobs using AWS Glue to transform and load data from various sources into a centralized data lake stored in S3, resulting in improved data accuracy and availability for business intelligence reporting.

Configured and managed AWS EMR clusters for scalable and efficient processing of big data workloads, leveraging technologies such as Spark, Hadoop, and Hive.

Created and maintained AWS S3 buckets for secure and reliable storage of large datasets, implementing versioning, lifecycle policies, and encryption at rest to ensure data integrity and compliance.

Implemented event-driven architectures using AWS Lambda, S3, and other services to trigger automated workflows and real-time processing of data streams, enabling near-instantaneous response times for critical business operations.

Experienced in frontend development using Angular and React, with a focus on delivering intuitive and engaging user interfaces.

Experience in developing consumer-based custom features and application development using Python, Django, HTML, CSS, JavaScript.

Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.

Managed Docker orchestration and Docker containerization using Kubernetes.

Education:

Bachelor of Technology in Computer Science, VIT University, India. (2017)

Master of Science in Computer Science, University of Houston. (AUG 2022 – DEC 2023).

Professional Experience

Client : Credit Suisse, Remote

Role : Sr. Python Developer

Duration : FEB 2023 – present

Responsibilities:

Managed and supported Jupyter notebook infrastructure for a large team of data scientists and analysts, ensuring smooth and uninterrupted access to critical data analysis tools.

Troubleshot and resolved technical issues for Jupyter notebook users, providing prompt and effective solutions to minimize downtime and improve productivity.

Developed and maintained Kubernetes-based infrastructure for Jupyter notebook deployment, ensuring scalability, reliability, and high availability.

Developed RESTful APIs using Flask and Django frameworks to facilitate data communication between client-side and server-side applications.

Implemented authentication and authorization mechanisms for Flask and Django applications using OAuth, JWT, and other industry-standard protocols.

Designed and developed scalable web applications with Flask and Django, utilizing modern development practices such as test-driven development (TDD), continuous integration and deployment (CI/CD), and agile methodologies.

Worked with relational databases (such as PostgreSQL and MySQL) and non-relational databases (such as MongoDB) to store and retrieve data for Flask and Django applications.

Collaborated with cross-functional teams including product managers, designers, and other developers to deliver high-quality and user-friendly web applications powered by Flask and Django.

Collaborated with cross-functional teams to design and implement data analysis workflows using Jupyter notebook, Kubernetes, and other relevant technologies.

Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

Experience on Kubernetes based container deployments to create self-environments to deploy the code.

Hands on experience in using NOSQL libraries like MongoDB, Cassandra, Redis and relational databases like Oracle, SQLite, PostgreSQL and MYSQL databases.

Built ETL jobs with AWS Glue to transform and load data into a central data lake in S3, improving data accuracy and availability for business intelligence.

Configured AWS EMR clusters to handle large-scale data processing with technologies like Spark and Hadoop.

Utilized Python Libraries like Boto3, NumPy for AWS.

Created and maintained technical documentation and training materials for Jupyter notebook users, ensuring comprehensive and up-to-date resources for effective usage and troubleshooting.

Designed and implemented Docker-based deployment scripts for Jupyter notebook infrastructure, streamlining the deployment process and increasing reliability.

Developed and maintained internal Python libraries for Jupyter notebook users, providing pre-built functions and utilities to streamline data analysis workflows.

Utilized AWS services such as EC2, S3, and IAM to design and deploy scalable and secure Jupyter notebook infrastructure for a large team of data scientists and analysts.

Collaborated with cross-functional teams to design and implement complex data analysis workflows using Jupyter notebook and internal Python libraries, leveraging AWS services for scalability and reliability.

Developed GraphQL APIs to provide flexible and efficient data retrieval for client applications.

Utilized GraphQL subscriptions to provide real-time updates and event-driven communication between the client and server.

Provided technical support to Jupyter notebook users, utilizing expertise in AWS, Docker, and internal Python libraries to troubleshoot and resolve technical issues promptly and effectively.

Client : Gigamon Solutions, Chennai, INDIA

Role : Sr. Python Developer

Duration : July 2019 – July 2022

Responsibilities:

Designed and implemented serverless architecture using AWS Lambda functions and Step Functions, reducing costs, and improving scalability for a business-critical application.

Developed and maintained AWS S3 infrastructure, ensuring secure and reliable storage of large volumes of data and objects.

Designed and implemented complex data models using Flask and Django ORM (Object-Relational Mapping) to ensure data integrity and consistency in database transactions.

Developed RESTful APIs that integrate with third-party APIs and services, such as payment gateways, social media platforms, and email providers.

Optimized the performance of Flask and Django applications by leveraging caching techniques, load balancing, and other scalability strategies.

Conducted code reviews, wrote technical documentation, and provided mentorship to junior developers to maintain code quality and consistency across the team.

Contributed to open-source projects and communities related to Flask, Django, and RESTful APIs, demonstrating a commitment to learning and staying up-to-date with industry best practices.

Configured and managed IAM roles and policies, ensuring secure and granular access control for users and applications.

Developed and deployed AWS CloudFormation templates for infrastructure as code (IaC), ensuring consistent and repeatable deployment of AWS resources.

Generated business reports and visualizations using Lambda functions and other AWS services, utilizing data from multiple sources, and applying complex transformations and calculations...

Utilized Python for data analysis and machine learning tasks, leveraging libraries such as NumPy, Pandas, and Scikit-Learn to preprocess data, build models, and generate insights.

Developed and maintained Python-based web applications using frameworks such as Flask and Django, ensuring high performance, scalability, and security.

Designed and implemented RESTful APIs using Python frameworks such as Flask and Django, providing secure and scalable interfaces for external clients to access application services.

Developed and maintained automated test suites for Python REST APIs, utilizing frameworks such as Pytest and Selenium to ensure comprehensive and reliable testing coverage.

Designed and maintained intricate SQL databases for a large-scale enterprise app, optimizing queries with advanced features like subqueries, joins, and window functions to extract insights from extensive transactional data.

Client : Kriti infosystems, India

Role : Jr. Python Developer

Duration : June 2016 – June 2019

Responsibilities:

Designed and developed the UI of the website using HTML, XHTML, AJAX, CSS, and JavaScript.

Experienced working with a team of developers on Python applications for prioritizing tasks and for RISK management

Experience in developing entire frontend and backend modules using Python on Django Web Framework.

Used Django APIs for database access and worked on databases MySQL, and Postgres

Used Python to extract weekly hotel availability information from XML files.

Build SQL, NOSQL queries implementing functions, packages, views, triggers, and tables.

Participated in requirement gathering and worked closely with the team in designing and modelling.

Generated property list for every application dynamically using python

Experience in writing application-level code to interact with APIs, Web Services using JSON.

Designed and developed a horizontally scalable APIs using Python Flask.

Involved in Agile Methodologies and SCRUM Process.

Designed and implemented RESTful APIs using Python frameworks such as Flask and Django, providing secure and scalable interfaces for external clients to access application services.

Utilized Python for data analysis and machine learning tasks, leveraging libraries such as NumPy, Pandas, and Scikit-Learn to preprocess data, build models, and generate insights.

Developed and optimized SQL queries to extract insights and generate reports from large volumes of transactional data, utilizing advanced features such as subqueries, joins, and window functions.

Contributed to open-source projects and communities related to Flask, Django, and RESTful APIs, demonstrating a commitment to learning and staying up to date with industry best practices.

Developed a Logging web portal using ReactJS, HTML, CSS.

Environment: Python, Django, XML, HTML, XHTML, AJAX, CSS, SQL, JavaScript, ReactJS, MySQL, SOAP, JSON, and Flask



Contact this candidate