production readiness , secure sdlc , Apis, Automated Testing, DevSecOps, Distributed Systems, Kubernetes, AWS, data pipelines, Reliability, cloud-native applications, AI-assisted development, infrastructure as code, scalable web platforms, observability

Designing and implementing scalable data models, Familiarity with data governance principles, Collaborating with architects and engineering teams, Data Modeling Techniques and Methodologies, Troubleshooting and resolving data integration issues

data engineering , Data Governance, Google Cloud, User Experience, Microsoft Azure, AWS, experience design, Cloud-native architectures, Product management, Data management governance, Distributed data systems, Data platforms, Analytics tools

Modeling, B2B product management, data architectures, data platforms, reusable services, enterprise SaaS, data lakehouses, governed self-service data, data APIs, modern data platforms, real-time processing, transformation pipelines

Java, Kafka, Emr, Lambda, ECS, Spark, Data Lake, Databricks, Python, AWS, Airflow, EKS, AI-assisted development, data orchestration

Bash Shell Scripting, Gitlab, Databricks, Python, AWS, monitoring and observability tools, Infrastructure-as-Code, CI CD

Java, Apache Flink, C, Javascript, Database Systems, Apache Spark, Apache Kafka, Python, SaaS data processing products, Structured Streaming, Stream Processing frameworks

Python, Databricks, Gitlab, Bash Shell Scripting, AWS, CI CD, Infrastructure-as-Code, monitoring and observability tools

data compression , Distributed Computing, Software Development, Technical Leadership, Natural Language Processing, Information Retrieval, Networking, Artificial Intelligence, User Interface Design, implementing storage solutions, People Management, cloud environments, Security, Team Leadership, large-scale system design