Venkat S Email and Phone Number

Developed and maintained web applications using Python and various frameworks such as Django and Flask.Designed and implemented cloud infrastructure solutions using AWS services including EC2, S3, Lambda, RDS, and DynamoDB.Created and managed CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy for automated deployment and integration.Developed serverless applications and microservices architecture using AWS Lambda, API Gateway, and AWS Step Functions.Managed databases with Amazon RDS and DynamoDB, ensuring high availability and scalability.Monitored and optimized application performance using AWS CloudWatch, CloudTrail, and AWS X-Ray.Implemented security best practices including IAM policies, security groups, and VPC configurations.Collaborated with cross-functional teams to gather requirements, design solutions, and deliver high-quality software on time.Conducted code reviews and implemented unit and integration tests to ensure code quality and reliability.Utilized Docker for containerization and deployed containerized applications on AWS ECS and EKS.

•Performed Data analysis, Data Profiling and Requirement Analysis.•Analysed massive and highly complex HIVE data sets, performing ad-hoc analysis and data manipulation.•Designed and developed custom data integration pipelines on Facebooks big data stack such as python, YAML, Hive, Vertica and Dataswarm.•Designed and developed custom aggregation framework for reporting and analytics in Hive, Presto and Vertica•Developed ETL mappings and workflows using Informatica and Dataswarm.•Developed HIVE scripts to transfer data from and to HDFS.•Prepared Chronos workflows to schedule daily loads based on time or file arrivals.•Used Informatica to extract, transform & load data from SQL Server to Oracle databases.•Created dynamic BI report/dashboard for production support in Excel/PowerPoint/Power BI/Tableau/ My SQL Server/ PHP.•Worked on complex information model, logical relationships, and the data structures from MySQL, ORACLE, and HIVE/PRESTO.•Involved in developing Pig Scripts for change data capture and delta record processing between newly arrived data and already existing data in HDFS.•Wrote reports using Tableau Desktop to extract data for analysis using filters based on the business use case.•Created UNIX shell scripts to be used in conjunction with files.•Performed the Data Accuracy, Data Analysis, Data Quality checks before and after loading the data.•Experience in Performance Tuning in Oracle and SQL Optimizing. During the tuning process developed various indexes and partitions as needed.•Status reporting which includes Overall project development status.•Provide solution to any complex requirements from the End Users like Automated notification in case of any data discrepancies in the reporting tables.•Perform analysis on the existing data warehouse objects and find the optimum way to relate the new source objects.•Experience in different Python data science libraries like NumPy and Pandas, and did a POC on Sentiment Analysis.

Worked in Agile development following Scrum process, Sprint and daily stand-up meetings. Developed Views and Templates with Django view controller and template language to create a user-friendly website interface. Worked on frontend and backend modules using Python on Django Web Framework. Created application structure based on Angular style guides and best practices Built S3 buckets and managed policies for S3 buckets and used S3 bucket and Glacier for storage and backup on AWS Design and Developed Web Services, RESTful APIs for Mobile Apps using Python Django-REST and Flask Frameworks Developed complex database objects like stored Procedures, Functions, Packages, and triggers using SQL and PL/SQL. Created a Lambda Deployment function, and configured it to receive events from your S3 bucket Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript, and jQuery. Extensively used the advanced features of PL/SQL like records, Tables, Object types and Dynamic SQL. Created APIs, database Model and Views Utilization Python to build responsive web page applications. Used GitHub for Python source code version control, Jenkins for automating the build Docker containers, and deploying in Mesos Developed multiple React Redux based pages that provided functionality for Login/Logout, display of vendor data like vendor opportunity, top vendors, a tile-based display of important overview information, summary metrics etc.

Utilized Python extensively for scripting and automation tasks, streamlining processes and reducing manual efforts.Employed Windows OS (client and server) knowledge to ensure compatibility and seamless operation of Clinical Imaging Solutions.Demonstrated proficiency in Jenkins, Terraform, Google Cloud Platform (GCP) and GitLab, integrating them into CI/CD pipelines to enable continuous integration and delivery.Documented technical content effectively, ensuring clear communication and knowledge sharing within the team.Held a degree in computer science or equivalent experience, providing a solid foundation for technical expertise and professional growth.Involved in Analysis, Design, and Implementation/translation of Business User requirements.Worked on collection of large sets of Structured and Unstructured data using Python Script.Worked on creating DL algorithms using LSTM and RNN. Actively involved in designing and developing data ingestion, aggregation, and integration in the Hadoop environment.Experience in creating Hive Tables, Partitioning and Bucketing.Performed data analysis and data profiling using complex SQL queries on various source systems including Oracle 10g/11g and SQL Server 2012.Identified inconsistencies in data collected from different sources.Designed object model, data model, tables, constraints, necessary stored procedures, functions, triggers, and packages for Oracle Database.Wrote Spark applications for Data validation, cleansing, transformations, and custom aggregations.Developed custom aggregate functions using Spark SQL and performed interactive querying.Developed Spark applications for the entire batch processing by using Scala.Stored the time-series transformed data from the Spark engine built on top of a Hive platform to Amazon S3 and Redshift.Facilitated deployment of multi-clustered environments using AWS EC2 and EMR apart from deploying Dockers for cross-functional deployment.