Amit Kumar Yadav

Backend Engineer

Bengaluru, Karnataka, India4 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Reduced page load times by 40% through optimization.
Scaled data delivery from 200K to 10M+ records.
Built monitoring dashboards for proactive issue detection.

Stackforce AI infers this person is a Backend Engineer specializing in scalable SaaS solutions and data engineering.

Contact

Skills

Core Skills

AwsDatabase OptimizationMonitoring DashboardsEtl PipelinesApi Development

Other Skills

Adobe IllustratorAdobe PhotoshopAgile MethodologiesAirflowAlgorithmsAmazon Web Services (AWS)Apache KafkaApache SparkApache Spark StreamingBatch ProcessingC (Programming Language)C++CachingChange Data CaptureCloud Computing

About

Experienced Backend Engineer and Data Engineer with nearly 4 years of industry experience at Mindtickle. Proven track record in building scalable APIs, optimizing database performance, and designing efficient data pipelines on AWS. Spearheaded enhancements like pagination in OData services to scale data delivery from 200K to 10M+ records, and reduced page load times by 40% through query optimization and caching. Built monitoring dashboards using Datadog and Sumo Logic for proactive issue detection and SLA tracking. Strong background in Spark-based ETL pipelines and infrastructure cost optimization. Known for cross-functional collaboration and mentoring new team members.

Experience

Mindtickle

2 roles

SDE-2

Feb 2024 – Present · 2 yrs 1 mo

Improved the page load time of the most commonly accessed pages by 40%, achieved by optimizing and parallelizing database queries and caching the result
Created JIRA - Pagerduty integration dashboard to monitor the issues effectively and bring down the pager count
Worked on many API and Data Migration tasks on AWS and assisted new joiner’s with KTs for smooth learning/onboarding

ScalabilityDatabase OptimizationAWSAPI DevelopmentMonitoring Dashboards

SDE-1

Jun 2021 – Jan 2024 · 2 yrs 7 mos

Introduced pagination feature in OData service to increase data serving limit from 200k to 10mn+ records in a batch size of 200k records using the next token
Introduced request validation component in the team using marshmallow library to handle malformed requests which previously resulting in 5XX errors
Developed custom metric-driven dashboards in Datadog and Sumo Logic, enabling early detection of latency concerns and errors, preempting customer escalations and for SLA monitoring
Optimized ETL pipelines of delta lake by effectively using spark for processing and reduced cost of infra needed to process and transform data

ODataPaginationDatadogSumo LogicETL PipelinesApache Spark+1