Ajay Dubey — Product Manager
With 15+ years of hands-on experience, I have spearheaded the design, architecture, and development of cutting-edge data & AI platforms for both batch and real-time needs. I have consistently led initiatives that modernize data ecosystems and drive business-critical insights at scale. 💡 Currently, I oversee multiple high-performing engineering teams responsible for building scalable & Intelligent data & AI Platforms,Enabling capabilities like Iceberg migration, data governance, data quality, and observability frameworks. I champion best practices in system design and delivery across distributed environments. Key Achievements: • Architected and developed a configuration-driven, real-time processing platform to handle high-throughput batch and streaming workloads. • Building Multi Agent based System to improve Efficiency of system and reducing TAT • Architected and developed a flexible in-house OLAP engine, drawing inspiration from open source OLAP cubes to support analytical use cases. • Architected a configuration-driven, real-time fraud management and Anomaly Detection system • Led globally distributed engineering teams and ensured timely, high-quality product releases through disciplined SDLC execution. Technical Skills: • Languages: Java, Scala, C#, Python • Big Data Ecosystems: Apache Spark, Flink, Hadoop HDFS, Presto, MapReduce, Hive, Sqoop, Zookeeper, Hue, Kudu, Yarn • AI Landscape: Gen AI, Agentic AI, Multi Agent, RAG based systems • NoSQL Databases: MongoDB, DocumentDB, Redis, Cosmos DB • Databases: SQL Server, Sybase, PostgreSQL • In-Memory Databases: H2 • Streaming Technologies: Kafka, Spark Streaming, Flink • Query Engines: Hive, Trino, Waggledance, Presto • Distributions: CDH, Open Source, EMR • Message Queues: Kafka, RabbitMQ, ZeroMQ • Microservices: Spring Boot, Web API, gRPC, REST API, Docker, Kubernetes • Cloud Providers: Azure, AWS • Logging/Metrics/Observability: Splunk, Datadog, Elasticsearch • Orchestration: Oozie, Airflow • Reporting Tools: Power BI, Tableau • Data Pipelining: NiFi • Containers: Docker, Kubernetes • Miscellaneous: Performance Improvements, System Design, Distributed Systems, Highly Scalable Systems • CI/CD: Jenkins, Spinnaker,GitHub Actions Motivated by building systems that are not just robust and scalable, but also elegant in design. I excel in dynamic, fast-paced environments where my leadership and technical depth foster innovation and deliver measurable business outcomes. I continuously strive for operational excellence and embrace a mindset of learning, mentorship, and strategic impact.
Stackforce AI infers this person is a Data Engineering expert with a focus on scalable cloud solutions.
Location: Delhi, Delhi, India
Experience: 17 yrs 1 mo
Skills
- Data Engineering
- Project Delivery
- Big Data
- Cloud Computing
Career Highlights
- 15+ years of experience in data and AI platforms.
- Expert in architecting scalable data solutions.
- Proven leadership in managing high-performing engineering teams.
Work Experience
Expedia Group
Sr Manager/Architect Data Engineering (3 yrs 6 mos)
airtel
Sr Technical Lead Big data (1 yr 7 mos)
Macquarie Group
Manager Big data (3 yrs 7 mos)
Publicis Sapient
Senior Associate Big Data (1 yr 2 mos)
UnitedHealth Group
Data Engineer (1 yr 9 mos)
DXC Technology
Software Engineer (3 yrs 1 mo)
Team Computers
Software Developer (1 yr 4 mos)
Softcreations
Software Engineer (1 yr 2 mos)
Education
B.tech. at Netaji Subhas University of Technology, East Campus
Bachelor of Technology (B.Tech.) at Kala niketan sr secondary