Aditya Gaur

Senior Software Engineer

Delhi, India7 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Google Cloud Platform and Kubernetes.
Proven track record in data platform migration with zero downtime.
Skilled in building scalable ingestion frameworks.

Stackforce AI infers this person is a SaaS-focused Backend Engineer with expertise in cloud migration and data ingestion.

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Skills

Core Skills

Google Cloud Platform (gcp)KubernetesKafka StreamsClickhouse

Other Skills

C++PythonAlgorithmsData StructuresMySQLDockerPostgreSQLMemcachedRedisBigTableGoogle Kubernetes Engine (GKE)Helm (Software)Google BigQueryRabbitMQPub/Sub

About

Software engineer with nearly 7 years of experience building scalable ingestion platforms and tuning Databases to power analytics/monitoring use cases on both bare metal as well as cloud environments(GCP). I have experience working with both OLAP/OLTP databases and data warehouses (Postgres, ClickHouse, BigQuery, and BigTable). I have extensively worked with messaging solutions like Cloud Pub/Sub(GCP), Kafka, and RabbitMQ and implemented ingestion workloads on top of them using frameworks like Apache Beam and Kafka Streams. I also have experience working with containers(Docker) and container orchestration frameworks(Docker compose and Kubernetes) and am well versed in developing RESTful APIs (Spring Boot).

Experience

7 yrs 10 mos

Total Experience

2 yrs 7 mos

Average Tenure

3 yrs 9 mos

Current Experience

Atlassian

Senior Software Engineer

Jul 2022 – Present · 3 yrs 9 mos

C++PythonAlgorithmsData StructuresMySQLDocker+19

Innovaccer

Software Engineer 2 - Infrastructure and Platform development

Aug 2021 – Jul 2022 · 11 mos · Noida, Uttar Pradesh, India

Wingify

Software Engineer 2 - Data Platform

Jun 2018 – Aug 2021 · 3 yrs 2 mos · New Delhi, Delhi, India

Google Cloud Platform Migration
Migrated data platform components to GCP while ensuring zero user downtime and complete data integrity with a rollback plan for all components
Created Kubernetes manifests, Helm charts, and Jenkins based CI/CD pipelines for data platform services
Implemented custom Cloud Pub/Sub and GCP Cloud Storage connectors for OpenResty framework
New Data Platform: VWO Session recordings
Rearchitectured functionality from stateful implementation to a BigTable and Kafka Streams based solution
Achieved idempotent write operations spanning multiple Databases to prevent recording file corruption
Implemented Kubernetes health checks and autoscaling using Prometheus + JMX metrics
New Data Platform: Analytics engine
A ClickHouse and BigQuery based analytics platform used for Personalisation, A/B testing, and user segmentation
Developed a Cloud DataFlow and Pubsub based ingestion framework from scratch for reliable and scalable data ingestion, handling failure and data duplication issues using custom connectors
Full ownership of tuning ClickHouse cluster, implementing solutions, and fixing issues to achieve sub-second response
Custom DSL design, query generation, and Spring Boot REST API to power Adhoc analytics use cases