Saurav Prakash

Senior Software Engineer

Seattle, Washington, United States14 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in optimizing cloud database performance.
Proven track record in scalable cloud solutions.
Innovative contributor to AWS database platforms.

Stackforce AI infers this person is a Cloud Computing Engineer specializing in Distributed Systems and Database Solutions.

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Skills

Core Skills

Distributed SystemsCloud Computing

Other Skills

Database RecoveryPerformance OptimizationHigh AvailabilityBatch IngestionParallel ProcessingData PartitioningResource AllocationHigh-Volume Data IngestionBackup and RestoreCost EfficiencyData ManagementDistributed Data StreamFault-Tolerant SystemsMessage BusesKafka

About

Senior Software Engineer at Amazon Web Services (AWS), specializing in cloud storage systems and distributed databases. I have extensive experience in designing and optimizing high-performance, scalable solutions that power mission-critical applications globally. Passionate about driving innovation in cloud infrastructure, I focus on enhancing reliability, security, and performance for AWS's database platforms like Aurora. Always eager to tackle complex challenges and deliver impactful solutions in cloud computing. Let's connect to discuss cloud technologies and how they’re shaping the future!

Experience

Amazon web services (aws)

3 roles

Senior Software Engineer

Apr 2024 – Present · 1 yr 11 mos · Seattle, Washington, United States

As a Senior Engineer on the AWS RDS team, I focused on optimizing database recovery processes to enhance performance and significantly reduce startup recovery times. These improvements effectively minimized customer downtime, ensuring higher availability and reliability of the service.

Database RecoveryPerformance OptimizationHigh AvailabilityDistributed SystemsCloud Computing

Senior Software Engineer

Promoted

Jun 2023 – Apr 2024 · 10 mos · Seattle, Washington, United States

As a Senior Software Engineer at AWS Databases, I was responsible for architecting and implementing a scalable "Batch Ingestion" for AWS Timestream. This solution leveraged parallel processing, efficient data partitioning, and optimized resource allocation to ensure cost-efficient and high-performance loading of massive datasets. By addressing scalability bottlenecks and enhancing throughput, this innovation facilitated the seamless onboarding of numerous enterprise customers who had previously encountered limitations, thereby significantly expanding AWS Timestream's market adoption and customer base.

Batch IngestionParallel ProcessingData PartitioningResource AllocationDistributed SystemsCloud Computing

Software Developer

Feb 2022 – Jun 2023 · 1 yr 4 mos · Seattle, Washington, United States

As a Distributed Databases Engineer on Timestream's ingestion path team, I was instrumental in scaling the systems to handle high-volume data ingestion, ensuring they met performance and reliability standards. I played a pivotal role in the successful delivery of the new "Backup and Restore" feature, which enables customers to perform both automated and on-demand backups of terabytes of data. This feature was designed with a strong emphasis on cost efficiency and performance optimization, leveraging advanced algorithms and storage techniques to minimize overhead and maximize speed.

High-Volume Data IngestionBackup and RestoreCost EfficiencyDistributed SystemsCloud Computing

Amazon

Software Developer

Dec 2019 – Feb 2022 · 2 yrs 2 mos · New Delhi, Delhi, India

Worked as core team member of Amazon Lockers team that provides a pickup point capability for orders placed on Amazon retail.

Amazon web services (aws)

Software Developer

Jul 2019 – Nov 2019 · 4 mos · Chennai, Tamil Nadu, India

I was part of AWS SimpleDB team which is the first NoSQL Database offering from AWS.

Honestbee

Software Development Engineer

Aug 2018 – May 2019 · 9 mos · Bengaluru, Karnataka, India

I was part of the platforms and Search infrastructure Team.
Built a in-house, fault-tolerant distributed data stream for high throughput workloads using open source message buses like Kafka. This component can expose any queue interface via HTTP, the language of the web. The design is Extensible with robust retry semantics & finer control over job processing with the ability to pause, resume, throttle a data stream.

Goldman sachs

Associate

Jun 2015 – Jul 2018 · 3 yrs 1 mo · bangalore

I was part of the platforms team responsible for building & maintaining low-level critical infrastructure for the firm. I worked on a couple of projects in my tenure at GS:
1. Enterprise Process Scheduler: Allows scheduling Linux processes on hosts based on a schedule.
2. Grid Compute Platform: Worked on an in-house Grid compute platform that allows running lambda functions on a Grid of compute servers through optimal routing.

Distributed Data StreamFault-Tolerant SystemsMessage BusesDistributed Systems

Central scientific instruments organization

Summer Intern

May 2014 – Jun 2014 · 1 mo · Chennai

At CSIO I worked under the guidance of Senior Scientist Chenthamarai Selvam on Building Energy Monitoring and Building automation and later on I had to program the Smartserver module.In a nutshell,I had to build a network of Energy meters based on LonWorks and ModBus Protocol,configure this network,interface this network with SmartServer,aggregate data,store it,publish it and take necessary control action based on Data points value.In the later part of my work I had to create some Applications i.e I had to program the smartserver to lend automation to some electrical actuators.

Iit kharagpur

Undergraduate

Jul 2011 – May 2015 · 3 yrs 10 mos

I did my Bachelors in Instrumentation Engg offered by the Dept of Electrical Engg.
Apart from my routine courses I had taken courses on ALGORITHMS,DATA STRUCTURES,OPERATING SYSTEMS etc and have developed a strong penchant for programming.