Shreesh Mansotra

Software Engineer

Jammu, Kashmir, India3 yrs 10 mos experience
Highly Stable

Key Highlights

  • Designed scalable microservices using Java and Spring Boot.
  • Optimized cloud costs by 30% through resource management.
  • Generated $4 million in ad revenue through targeted solutions.
Stackforce AI infers this person is a Backend-focused Software Engineer in Cloud Computing and Advertising Technology.

Contact

Skills

Core Skills

Api DevelopmentCloud ComputingBig Data Analytics

Other Skills

Google Dataproc APIApache KafkaEvent-Driven architectureCosmosDBAirflowDAGsk6MicrometerGrafanaApache SupersetGoogle AdsSearch Engine Marketing (SEM)Attribution ModelingSQLApache Airflow

About

I’m an experienced Software Engineer with over 3 years of full-time experience and 6 months of internship exposure. Worked on back-end development, leveraging Java and Spring Boot to design and implement scalable microservices. Proficient in working with Apache Spark for big data processing.

Experience

3 yrs 10 mos
Total Experience
3 yrs 10 mos
Average Tenure
3 yrs 10 mos
Current Experience

Walmart global tech india

3 roles

SDE- III

Sep 2024Present · 1 yr 9 mos · Bengaluru, Karnataka, India

  • Designed and implemented a microservice leveraging Google Dataproc API to submit serverless jobs in Google Cloud, streamlining the job execution process.
  • Optimized Dataproc job execution by dynamically scaling resources based on workload, improving the overall job resource utilization and thereby reducing cloud infrastructure costs by 30%.
  • Integrated Apache Kafka into DSP service to enable high-throughput data streaming, serving as a producer responsible for writing approximately 1 million records per day into Kafka topics.
Google Dataproc APIApache KafkaAPI DevelopmentCloud Computing

SDE-ll

Promoted

Aug 2022Present · 3 yrs 10 mos · Bengaluru, Karnataka, India

  • Responsible for developing offsite targeted advertising solutions leveraging Walmart user behaviour data, driving improved customer engagement and ad performance, thereby generating approximately $4 million in ad revenue for Mexico market.
  • Implemented Event-Driven architecture to efficiently handle large data volumes, ensuring scalability and flexibility, processing approximately 1TB data daily across multiple banners.
  • Optimized Data Access in CosmosDB: Integrated Hierarchical Partitioning in a DSP service to streamline data retrieval by leveraging point reads, reducing document fetch latency by 30% and improving overall system performance.
  • Developed DAGs in Airflow using Python to schedule daily and monthly jobs. Optimized existing DAGs to improve resource efficiency, reducing VM costs by 40%.
  • Developed and deployed DSP microservice APIs capable of handling up to 800 transactions per second.
  • Performed performance and load testing for DSP microservice APIs using the k6 tool, ensuring reliability under high traffic. Automated test cases for data validation and transformation.
  • Enhanced system performance by eliminating CPU underutilization through resource monitoring and custom scaling, achieving a 25% reduction in cloud costs.
  • Leveraged Micrometer library to create custom metrics(Counter,Histogram,Gauge), enhancing service visibility and reducing high Splunk costs by converting logs into application metrics.
  • Developed Grafana dashboards using PROMQL to visualize custom application metrics and integrated with Slack and Xmatters, enabling real-time monitoring.
Event-Driven architectureCosmosDBAirflowDAGsk6Micrometer+3

SDE

Jan 2022Jul 2022 · 6 mos · Bengaluru, Karnataka, India

  • Worked on building a Real time Data Analytics Platform to supports various Business Analytics during the Order Fulfilment cycle of Order Delivery.
Big Data AnalyticsApache Superset

Education

RV College Of Engineering

B.E — Computer Science

Jan 2018Jan 2022

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