Shriyog Ingale

Software Engineer

Bengaluru, Karnataka, India9 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable backend systems.
Proficient in microservices architecture and data engineering.
Strong experience with cloud technologies and data pipelines.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in E-commerce and Data Engineering.

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Skills

Core Skills

MicroservicesJavaData EngineeringHadoop

Other Skills

LocalizationCircuit BreakersBulk-head PatternPerformance BenchmarkingIn-memory CachingData PipelinesETLReal-time Change Data CaptureKafkaHBaseAirflowSparkHiveFlinkAWS

About

Software Engineer with experience in microservices architecture, distributed systems, & data platforms — currently building scalable backend systems at Meesho Primary Tech Stack - Java, Python, Golang - Spring Boot, Redis, MySQL, MongoDB, HBase, Elasticsearch - Spark, Hadoop & family! - POCs, benchmarks, metrics, CICD - TDD, pair-programming & Uncle Bob!

Experience

9 yrs 2 mos

Total Experience

3 yrs

Average Tenure

4 yrs 11 mos

Current Experience

Meesho

3 roles

Software Development Engineer IV

Jan 2024 – Present · 2 yrs 4 mos

Software Development Engineer III

Promoted

Jan 2022 – Dec 2023 · 1 yr 11 mos

Built features to enhance product comprehension, quality, & decision to buy on Meesho

Software Development Engineer II

May 2021 – Dec 2021 · 7 mos

Worked on microservices that power the home page feed, widgets & banners, sort-filter, & categories tab.
Localization — built capability to support home page widget & banners in Hindi (MVP).
Integrated a downstream microservice (organic product feed) with the fronting aggregation layer. Incorporated circuit breakers, bulk-head pattern, percent-based feature rollout for seamless integration.
Regular contributions to new features, bug fixes in multiple microservices.
Worked on engineering tasks such as optimizing read flows using in-memory caching, performance benchmarking for sale events, live Redis migrations, etc.
Conducted research & proof-of-concept to find an optimal library for performing real-time ANN search at scale.

MicroservicesLocalizationCircuit BreakersBulk-head PatternPerformance BenchmarkingIn-memory Caching+1

Hotstar

Software Development Engineer II

Feb 2019 – Oct 2020 · 1 yr 8 mos · Bengaluru Area, India

Diverse experience working on Disney+ Hotstar Data Platform. Responsibilities include building & maintaining scalable data pipelines, data products, internal platform tools & managing infrastructure.
Built a feature store that computes & stores 100s of feature tags for 300+ million users leveraging billions of events. It powers ML models for recommendations, segmentation, & marketing campaigns.
Re-designed metadata ingestion — used real-time change data capture to sync org-wide databases to Data Platform. Reduced data latencies from 24 hours to minutes.
Worked on a notification service that powers all the mobile push notifications using Firebase Cloud Messaging & APNs.
Built platform-wide ETL monitoring service, platform APIs to self-serve ops, & a change migration tool.
Worked on enforcing authorization & GDPR compliance to Data Platform.
One of the custodians of platform infrastructure which includes Kafka, Hadoop, Hbase, Druid, & Airflow clusters in the public cloud environment.

Data PipelinesETLReal-time Change Data CaptureKafkaHadoopHBase+2

Gs lab

Software Engineer

Jul 2016 – Feb 2019 · 2 yrs 7 mos

Worked as a consultant for a giant stock exchange. Designed & built data pipelines using Hadoop, Spark, Hive, Kafka, & Flink on AWS.
End-to-end design, development, and performance tuning.
Setting up infrastructure, deployment strategies, monitoring in the cloud environment.
TDD, CI/CD, & Agile methodologies with hands-on experience in Java 8 & Scala.

Data PipelinesHadoopSparkHiveKafkaFlink+2

Symantec

Software Development Intern

Jan 2016 – Jun 2016 · 5 mos

Built a Hadoop cluster health monitoring service using YARN metrics that helped monitor & tune about 10000 jobs weekly.
Discovered interesting cluster usage patterns which were instrumental in resource planning, job queues, and scheduler decisions.

HadoopYARNCluster Monitoring