Sakshi Mehra

Software Engineer

Seattle, Washington, United States8 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable data pipelines.
Proficient in Big Data technologies like Spark and Kafka.
Strong background in cloud architecture with AWS and Azure.

Stackforce AI infers this person is a SaaS-focused Data Engineer with expertise in cloud and big data technologies.

Contact

Skills

Core Skills

Data PipelinesBig DataCloud Migration

Other Skills

.NET FrameworkAPI DevelopmentAWSAWS LambdaAmazon DynamodbAmazon RedshiftAmazon Web Services (AWS)Apache KafkaApache SparkAzureAzure ObservabilityAzure stackC#CassandraCore Java

About

I work on building scalable and reliable data pipelines. Specifically I work on the consumption layer of the pipeline. I love solving problems and building solutions that handle scale.

Experience

Microsoft

Software Engineer

Feb 2023 – Present · 3 yrs 1 mo · Redmond, Washington, United States

Google developer student clubs

Google Developer Student Club Tech Lead

Sep 2022 – Jan 2023 · 4 mos · Buffalo, New York, United States

Microsoft

Software Engineer Intern

May 2022 – Aug 2022 · 3 mos · Redmond, Washington, United States

Azure Observability

Azure Observability

Anitab.org

Member

Nov 2021 – Jun 2022 · 7 mos · United States

Sellerapp

Software Engineer

Feb 2020 – Jun 2021 · 1 yr 4 mos · India

Developed and maintained several services of the microservices backend and wrote concurrent code for faster APIs
Improved existing workflows and built a data system from scratch, capable of handling large scale variable data using Spark and Cassandra bringing down system latency to under 1 second.
Successfully carried out data migrations across multiple data sources and maintained data consistency

microservicesSparkCassandraData PipelinesBig Data

Mu sigma inc.

3 roles

Decision Scientist

Jan 2020 – Feb 2020 · 1 mo

Developed a data architecture recommendation system based on user constraints, by figuring out 25 hierarchical factors across 4 categories resulting in 500+ combinations of unique architectures
Built end-to-end data models and pipelines, performing ETL using Spark, Kafka, AWS Cloud services stack
Benchmarked various actor model frameworks(Akka, Elixir, Protoactor, ProtoactorGo) to spin up 1 million actors
under 2 seconds
Built a NodeJS application which helped visualize the correlation and interconnection of business problems
Managed the Data Engineering Tech Horizontal and reviewed multiple projects across the organisation
Mentorship: Mentored new joinees on Big Data technologies like Spark, Kafka, AWS, and the existing codebase

data architectureETLSparkKafkaAWSBig Data+1

Mu Sigma R& D

Feb 2018 – Feb 2020 · 2 yrs

Data Engineering- Cloud Migration I worked to develop an app that created data architecture on the cloud using AWS and Azure.
Big Data Pipeline- worked to create a pipeline ingesting high volume, variable data and processing it real-time.
ModelOps- worked on a microservices architecture to create a platform providing development, validation, testing and deployment of an ML model at the same place.
Actor Framework- Benchmarked various actor frameworks to create an ABM based simulation system.

AWSAzureData PipelinesCloud Migration