Parikshit Yadav

SRE (Site Reliability Engineer)

Bengaluru, Karnataka, India8 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Expert in Site Reliability Engineering and Cloud Infrastructure.
Proven track record in managing big data pipelines.
Strong automation skills with Terraform and Kubernetes.

Stackforce AI infers this person is a SaaS Infrastructure Engineer with strong expertise in Site Reliability Engineering.

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Skills

Core Skills

Site Reliability EngineeringCloud Infrastructure

Other Skills

AWSAlgorithmsAmazon Web Services (AWS)Apache KafkaApache ZooKeeperArgoBashCloudflareComputer NetworkingDatadogDockerDruidElasticSearchElasticsearchGit

Experience

Adobe

SDE III Site Reliability Engineer

Sep 2023 – Present · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

Site Reliability EngineeringCloud Infrastructure

Cloudera

2 roles

Senior Site Reliability Engineer

Aug 2022 – Sep 2023 · 1 yr 1 mo

Site Reliability EngineeringCloud Infrastructure

Site Reliability Engineer

Dec 2020 – Aug 2022 · 1 yr 8 mos

Site Reliability EngineeringCloud Infrastructure

Qubole

Member Of Technical Staff

Jun 2020 – Dec 2020 · 6 mos

Media.net

2 roles

Site Reliability Engineer 2

Jul 2019 – Jun 2020 · 11 mos · Mumbai Area, India

Site Reliability EngineeringCloud Infrastructure

Site Reliability Engineer

Jun 2017 – Jun 2019 · 2 yrs · Mumbai Area, India

Cloud Infra SetUp : Sole responsible for team’s CloudInfra setup and maintenance using Terraform to avoid any human error in infra changes
BC/DR Plan : Project consists of Automation scripts, K8's yaml definitions and terraform infra code to setup and deploy and start serving Important projects on AWS,GCP,Heroku,DC's
Api's/Plugins : Developed heroku buildpacks for serving landing pages along with caching, monitoring alerting, Wrote a gulp plugin to avoid serving of stale static contents by CDN's
AutoComplete Infra : Mentor for setup of new autocomplete infra on AWS. New setup reduced the cost from $6000/year to $1200/year
Big Data Pipeline : Management of big data pipeline consisting of Kafka, Hadoop, Redshift and Druid with automation feature for intelligently reprocessing of data on failure and alerting
Centralized Logging and Monitoring : Centralized logs on Elasticsearch Cluster Using Fluentd, SQS and Docker Swarm. Prometheus, AlertManager and Grafana setup on K8s cluster for Monitoring and Alerting
BackUp Druid Cluster : Responsible for setup of BackUp Druid Cluster using Puppet, EMR with an api endpoint to start/stop cluster

TerraformAWSKubernetesElasticsearchPrometheusGrafana+2