Ashok Kurapati Email & Phone Number

United States

Engaged in the complete Software Development Life Cycle (SDLC), including analysis, specification, design, implementation, and testing phases.• Applied agile methodology to develop applications, ensuring adaptability to changing project requirements.• Participated in requirement gathering and analysis, conducting workshops and meetings with business users to document business requirements.• Collaborated with cross-functional teams to ensure alignment between technical solutions and business needs.• Containerized and deployed ETL and REST services on AWS ECS through CI/CD Jenkins pipelines, optimizing deployment processes.• Migrated an existing on-premises application to AWS. Used AWS services like EC2 and S3 for small data sets processing and storage, experienced in maintaining the Hadoop cluster on AWS EMR.• Design, development and implementation of performant ETL pipelines using python API (PySpark) of Apache Spark, AWS glue on AWS EMR.• Created Athena and integrated with AWS Glue to fully manage ETL service that can categorize the data.• Developed Python based API (RESTful Web Service) to insert, delete and update campaign rules in JOB Config DB using Django and PostgreSQL. Deployed all the API’s on AWS EC2.• Implemented memory management strategies for ETL services, enhancing overall performance.• Applied unsupervised machine learning algorithms, specifically the K-means algorithm using PySpark, for public segmentation.• Utilized PySpark SQL for efficient analysis of SQL scripts, improving performance.• Developed Python Django forms for recording online user data and used pytest for writing test cases.• Utilized Python OpenStack APIs and scripts for database updates and file manipulation.• Designed and deployed machine learning solutions in Python for classifying Twitter users.• Developed Spark applications in both Scala and Python (PySpark) for efficient data processing.

United States

Imported data from multiple sources, including cloud services and local file systems, into Spark RDD for scalable data processing.Leveraged Amazon Web Services (AWS) technologies like EMR, S3, EC2, and Lambda for efficient data storage and processing.Developed ETL jobs using AWS Glue to update data in staging databases (e.g., Postgres) from diverse sources and REST APIs.Utilized Apache Spark and Spark YARN to optimize algorithms and improve performance within Hadoop clusters.Developed automation scripts (Python, Shell Scripting) for task automation, deployment, and orchestration of cloud services.Implemented continuous testing practices, including unit testing and Pytest, to ensure code quality and reliability.Utilized Jenkins for continuous integration, building code, and deploying applications to remote servers.Created automated pipelines in AWS CodePipeline for deploying Docker containers on AWS ECS using CloudFormation and S3.Developed and scheduled Hive queries using Oozie coordinator for daily data processing tasks.Used Hive tables, Impala tables, partitions, and buckets extensively for analyzing large volumes of data.Developed Docker-based microservices and deployment modules with Jenkins, leveraging Kubernetes for scalable deployments.Designed and developed RESTful microservices using Flask and Django, deployed on AWS EC2 and Elastic Beanstalk.Integrated Flask framework into web applications for controlling application logic and managing backend services.Updated IAM roles on AWS to ensure proper access controls for users and applications.Implemented detokenization techniques for sensitive data before file transfer to enhance security measures.Utilized SQL and NoSQL databases (e.g., PostgreSQL, Cosmos DB) for data storage and retrieval.Developed and maintained web applications using frameworks like Flask, Django, and OpenStack APIs.

• Developed customized APIs with token-based authentication for Django using Rest Framework, SRSS, and PySpark.• Automated infrastructure activities like continuous deployment, application server setup, and stack monitoring using Ansible Playbooks.• Worked on Amazon Web Services (AWS Kinesis, EC2) infrastructure with automation and configuration management tools.• Designed and developed ETL integration patterns using PySpark, AWS glue.• Developed the notification service by posting the JSON request in AWS API Gateway, Validating the response in Lambda by getting the data from database and sending the notification through AWS SNS and SQS.• Developed tools using Python, and XML to automate some of the manual tasks.• Azure cloud merge with Python to store data securely in the cloud.• Implemented server-side technologies with restful API and MVC design patterns using NodeJS and Django framework.• Developed and maintained infrastructure for a new project using Ansible, Redis, Postgres, and Celery.• Microservices architecture development using Python and Docker on an Ubuntu Linux platform using HTTP/REST interfaces with deployment into a multi-node Kubernetes environment.• Created ETL Pipeline using Spark and Hive for ingesting data from multiple sources.• Worked with Presto, Hive, Spark SQL, and Big Query, leveraging Python client libraries to build efficient and interoperable analytics programs.• Employed version control tools like GitHub and Bitbucket for code versioning and maintenance.• Developed and executed reports using Tableau for effective data visualization.• Developed dynamic web pages using Python Django Frameworks, created various templates for different customers, and saved their user preferences.• Monitored database performance with the help of AWS Cloudwatch and communicated with users to consume resources optimally.• Developed back-end components using Python 3.7 on Django 1.7 framework and front-end using HTML5, CSS/CSS3, and JavaScript.

• Followed Agile Methodologies to manage the full life-cycle development of projects.• Ensured efficient delivery of code based on Test Driven Development (TDD) principles and continuous integration, aligning with Agile Software Methodology.• Developed views and templates using Python and Django view controllers and templating language for creating user-friendly website interfaces.• Worked on large-scale, high-traffic Python web applications to define and implement new features, enhance core functionality, and integrate with other platforms and services.• Installed, configured, upgraded, migrated, and patched DB2, Oracle, and SQL Server databases.• Established database connections for Python by configuring packages like MySQL-Python.• Handled potential points of failure through robust error handling strategies.• Ensured clear communication of failures to relevant stakeholders.• Deployed projects into Heroku using GIT version control system and Microservices architecture.• Developed various Python scripts for vulnerability assessments with SQL queries, including SQL injection, permission checks, and performance analysis.• Utilized standard Python modules like CSV, Robot parser, Iter tools, Pickle, Jinja2, and XML for development.• Implemented MVC architecture in developing web applications with the Django framework.• Worked with MVW frameworks like Django, Angular JS, HTML, CSS, XML, JavaScript, AngularJS, jQuery, Bootstrap, JSON.• Designed, developed, and implemented ETL pipelines using Python API (PySpark) in AWS EMR.• Developed ETL pipelines in and out of the data warehouse using a combination of Python and Snowflake’s Snow SQL by writing SQL queries against Snowflake.•Used DataStax Spark connector to store data into Cassandra databases or retrieve data from Cassandra databases.•Utilized SSIS transformations such as Lookup, Derived Column, Data Conversion, Aggregate, Conditional Split, SQL Task, Script Task, and Send Mail Task for data integration.