Punith Kumar G

Software Engineer

Hyderabad, Telangana, India13 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building automated data pipelines.
Led successful cloud migration initiatives.
Improved test coverage from 70% to 91%.

Stackforce AI infers this person is a SaaS-focused data engineering expert with a strong emphasis on quality assurance and cloud architecture.

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Skills

Core Skills

Data ArchitectureCloud ComputingQuality EngineeringTest Automation

Other Skills

Agentic AIAirflowAlgorithmsAmazon Web Services (AWS)Analytical platformsApache KafkaApache SparkArtificial Intelligence (AI)Automation FrameworksBig Data AnalyticsCI/CD PipelineCloud MigrationCloud-native architecturesCross-functional Team LeadershipData Governance

About

Proven ability to lead teams and deliver high-quality data platform solutions across startups and enterprises. Expertise in building automated pipelines, leveraging big data technologies, cloud platforms, and distributed systems.🔹 Technical Expertise:• Data Architecture & Warehousing (Snowflake, Hive, Oracle)• Big Data Processing (Apache Spark, Airflow)• Cloud Infrastructure (AWS)• ETL/ELT Pipeline Orchestration• Programming: Java, Python, Scala, SQL• Distributed Systems & Stream Processing🔹 Current Focus Areas:• End-to-end data platform development• Cloud migration & infrastructure modernization• Generative AI & Agentic AI integration for velocity improvement• Building robust, high-performance data solutions• Data architecture and system design🔹 What Drives Me:Expert in building systems from the ground up, driven by first principles and over a decade of leadership experience. I balance technical depth with strategic thinking, continuously exploring innovations in data engineering, ML/AI integration, and automation.📫 Open to connecting with data engineering professionals, discussing big data challenges, and exploring innovative solutions in distributed systems and cloud architecture.

Experience

Apple

Senior Software Development Engineer

Mar 2019 – Present · 7 yrs · Hyderabad · Hybrid

Leading large-scale technology migration and modernization initiatives, transitioning legacy systems to cloud-native architectures while architecting scalable reporting, analytical, and forecasting platforms.

Data ArchitectureCloud-native architecturesReporting platformsAnalytical platformsForecasting platformsCloud Computing

Qubole

Member of Technical Staff

Aug 2017 – Feb 2019 · 1 yr 6 mos · Bengaluru · On-site

Quantum – Interactive Serverless Query Engine Drove quality engineering for Quantum, a high-performance serverless query engine, leading comprehensive test automation and quality assurance initiatives. Quality Engineering & Automation
Designed and developed end-to-end automation framework encompassing workload automation, performance benchmarking, and functional testing
Integrated testing frameworks seamlessly into CI/CD pipeline ensuring continuous quality validation
Led Presto Quality Engineering team, improving test coverage from 70% to 91% through strategic process optimization
Technical Contributions:
Built performance benchmarking tools enabling data-driven quality decisions
Established quality gates and best practices adopted across engineering teams
Delivered high-velocity releases while maintaining system reliability and performance

Quality EngineeringTest AutomationPerformance BenchmarkingCI/CD PipelinePresto

Inmobi

Lead SDET

Jul 2012 – Aug 2017 · 5 yrs 1 mo · Greater Bengaluru Area · On-site

Advanced from sole Quality Engineer to Tech Lead in 3 years, managing a team of 8 engineers.
Commerce Advertisement Platform (2012-2015)
Led quality engineering for commerce advertisement systems
Built automation frameworks for ad serving, relevance validation, RTB workflows, and performance testing
Established quality gates ensuring zero-downtime deployments
Technologies: Java, TestNG, Aerospike, PostgreSQL, Apache JMeter, REST APIs, Selenium
Data Platform Quality Engineering (2016-2017)
Led quality assurance for data platform covering ingestion, streaming, warehousing, and analytics
Designed quality strategy for architectural transformation from micro-batch (Pintail) to real-time stream processing
Executed quality validation for Kafka-based migration of pipelines handling billions of events
Built automation frameworks for data quality validation and reconciliation
Established monitoring, alerting, and data governance practices
Technologies: Apache Spark, Apache Kafka, Apache Falcon, Hive, Oozie, HDFS, Java, Scala, Python, SQL
Leadership
Grew and mentored team from 1 to 8 engineers
Established quality practices adopted across multiple product teams
Drove technical decisions for test infrastructure and data quality architecture
Key Achievement: Built comprehensive quality framework for data platform transformation, ensuring zero data loss and data integrity throughout migration.