Hire Top Redis Developers in 48 Hours!

Experienced with 5+ years in SQL Server, PostgreSQL, Snowflake and AWS Services, Proficient in designing storage objects, developing pipelines, and executing analytical queries, Skilled in ETL with AWS Glue, PySpark, and SQL Server Integration Services. Extensive experience in implementing Data Lake and Data Warehousing solutions using AWS services, ensuring efficient large-scale data migration and processing with minimal impact on production systems.

ComputingWith 6 years of experience in the IT industry, I am an experienced professional with proficiency in Mongo DB, PostgreSQL, and Cloud Computing. I have been successful in assuming a variety of roles and responsibilities throughout my career, such as developing and deploying innovative solutions, designing and maintaining back-end databases, and providing technical support and troubleshooting. In addition, I have a strong background in software engineering and web development, which has enabled me to effectively manage projects from start to finish. As a result, I am confident that I can bring a unique set of skills and knowledge to any organization.

Expertise in Software Development Lifecycle (SDLC), DevOps, Continuous Integration, Continuous Deployment, Infrastructure Automation, Configuration Management and Continuous Delivery.Experience in product Implementation/support and good knowledge in application servers like Apache-Tomcat/JBOSS and DB servers like MySQL/Percona/Cassandra and having good knowledge on Linux/Shell Scripting/Docker/Python/APM Tools.Knowledge on DevOps looks like Git/Jenkins/Ansible and AWS.Knowledge on release deployment & completed regression testing and validations of plan release & bug fixes for UAT as well as PROD Env. Worked on various issues and troubleshot satellite broadband products (Hughes,Yahsat) which includes devops tools like Docker/Kubernetes/Jenkins/OpenShift /Java/Microservices(ESB/ORD)/Rest API.Hands-on knowledge of software containerization platforms like Docker and container orchestration tools like Nomad and Consul.Experience in creating Docker Containers from scratch.Hands-on knowledge of configuration tools like Ansible.Proficient in developing Continuous Integration/ Delivery pipelines for code deployment using Jenkins.Extensively used Jenkins to streamline CI/CD process, and automated Master-Slave configurations using temporary slaves.Experience with automation/ integration tools like Jenkins.Automated build and deployment process using shell and Python scripting.Good interpersonal skills on MySQL, Linux Servers, and Shell scripting.Excellent knowledge on technologies such as Unix shell programming, and MYSQL Database.Knowledge on Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers.Knowledge on Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers

Focused on delivering timely, measurable, sustainable results that support critical objectives and drive value with Solid SQL and Vertica ,Linux knowledge with over years of working experience. Certified Vertica DBA with excellent Database Administration knowledge hands on experience in database design, and performance.

Engineering Manager - SRE with a demonstrated history of working in middleware and Linux administrations. Lead architecture design, implement and enact multiple enterprise platforms and solutions with utmost security.

Data Engineer with 5 years of IT industry experience with technical skills in the full development life cycle of software applications including requirement gathering, architecture design, and project planning. Managing the execution of the project from development to production release and maintaining production releases.Have been responsible for the design and development of multiple applications involving data integration from ~10 Operational Data stores to Enterprise Data Warehouse while applying business logic and requirements.Good working knowledge of NoSQL database for MongoDB and HBase.Good coding skills in Python,Pyspark,DBT and SQL. Good understanding of algorithms and implementation of the same efficiently. Have basic knowledge of AWS and AZURE cloud services. Worked on Sqoop, Flume, RedShift, S3, EMR, etc.Experienced in ingesting data from multiple data sources and deriving meaningful insights.