Perry J Email and Phone Number
A seasoned Senior Data Engineer with over 5 years of experience specializing in designing, implementing, and optimizing data infrastructure and pipelines to support business needs and decision-making processes. Utilized Apache Hadoop for distributed storage and processing of large datasets, Apache Spark for real-time data processing, interactive analytics, and machine learning tasks, Apache Kafka for building real-time data pipelines. Designed and managed data warehousing solutions using Amazon Redshift, enabling high-performance querying and analysis of large datasets for business intelligence and reporting purposes. Specialization in Apache Kafka and its technologies such as Brokers, Schema Registry, Zookeeper, Producer, Consumers, Shared Clusters, Cluster linking, Mirror-Making for real-time data streaming and designing scalable data pipelines, optimizing performance, and driving innovation for collaborating cross-functionally to deliver impactful data solutions. Managed and optimized relational databases like PostgreSQL and MySQL for efficient data storage, retrieval, and manipulation, ensuring data consistency and integrity. Utilized Python and SQL for data manipulation, analysis, and transformation tasks, leveraging libraries like Pandas, NumPy, and SciPy for advanced data processing and statistical analysis. Implemented containerization using Docker for packaging applications and dependencies into standardized units, ensuring consistency across development, testing, and production environments. Orchestrated containerized workloads using Kubernetes for automated deployment, scaling, and management of containerized applications, improving deployment efficiency and resource utilization. Designed and implemented Extract, Transform, Load (ETL) pipelines using Apache NiFi and Apache Airflow for orchestrating data workflows, enabling automated data ingestion, transformation, and loading into target data stores. Leveraged AWS for building scalable and cost-effective data solutions, utilizing services like AWS S3, EC2 for object storage, Lambda for computing, API Gateway for serverless, AWS Glue for ETL, Amazon Redshift for data warehousing. Managed code changes and collaborated with team members using Git, GitHub and GitLab for version control, ensuring code integrity. Implemented infrastructure as code (IaC) using Terraform and AWS CloudFormation for automating the provisioning and management of cloud resources. Proficient in Agile methodologies including Jira and Trello for Scrum and Asana for Waterfall.
Goldman Sachs
View- Website:
- goldmansachs.com
- Employees:
- 65498
-
Senior Full-Stack Developer And Cloud EngineerGoldman SachsRaleigh, Nc, Us -
Sr. Data Engineer | Cloud Engineer SmeGoldman Sachs Oct 2022 - PresentWorked on a project that focused on shifting of manual approving deployment process into an automated Pipeline using AWS services including AWS Lambda, AWS Artifact, AWS Audit Manager, AWS CloudTrail, Amazon Virtual Private Cloud (VPC), and Amazon Elastic Compute Cloud (EC2) and AWS CloudPipeline to automate deployment process which resulted in 75% less approval timeline while also reducing the number of issues and maintaining compliance. -
Data EngineerVolkswagen Group Jan 2020 - Sep 2022Worked on a project with Volkswagen group focusing on migrating its complex data environment to Amazon EMR using Apache Kafka, Amazon Kinesis, Apache Spark Streaming, AWS Lambda, AWS Glue, Amazon S3, AWS CloudWatch, Elastic search, Kibana, AWS Auto Scaling, Kubernetes, Horizontal Pod Autoscaler (HPA), AWS CloudFormation, and Terraform, which resulted in achieving zero service downtime, 30% Operational costs reduction, 25% reduction in troubleshooting time, and implementing auto-scaling capabilities. -
Software EngineerPrincipal Financial Group Jan 2018 - Dec 2019Worked with Principal Financial Group that aimed to implement improvements for increased reliability and faster recovery times. Designed and implemented enhancements to the disaster recovery environment using ETL to ensure higher availability and resilience. This also involved optimizing backup and recovery processes, implementing redundancy measures, and enhancing failover mechanisms like Load Balancing. The project resulted in unlocking $1 million in annual savings, 25% reduction in storage costs using Amazon S3 Glacier Instant Retrieval, 83% reduction in return-to-operation time, enhanced security and compliance through automation and 150% improvement in data storage.
Frequently Asked Questions about Perry J
What company does Perry J work for?
Perry J works for Goldman Sachs
What is Perry J's role at the current company?
Perry J's current role is Senior Full-stack Developer and Cloud Engineer.
Who are Perry J's colleagues?
Perry J's colleagues are Adrien Duverger, Aditya Gourav, Sai Kishore, Gourav Sarkar, Anthony Hitchcock, Harneet Kaur, Tim W..
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