Kunal Kishor — Product Manager

🚀 Google‑Certified Cloud Architect & Data Engineer | Snowflake, BigQuery, Dataflow,Airflow • Serverless • CI/CD • Mainframe → Cloud Modernization I am a seasoned GCP Data Architect with 18+ years of experience architecting scalable, secure, and cost‑effective data ecosystems. Certified as a Google Cloud Data Engineer, Cloud Architect, and Snowflake Architect, I excel in transforming legacy systems into modern, serverless pipelines that deliver real business impact. ⸻ 🔧 Core Strengths & Technologies • Serverless Data Pipelines — Pub/Sub, Cloud Run, Dataflow, Composer, Cloud Functions, Dataplex, BigQuery, Cloud SQL • CI/CD Automation — Cloud Build, Cloud Deploy; design infrastructure-as-code strategies • Data Modernization — Expert in mainframe migration, simplifying ETL processes, optimizing data latency • Enterprise Data Platforms — Oracle Exadata, DB2, SQL Server, MySQL; real-time replication (GoldenGate, SharePlex) • Containers & Virtualization — Docker, Kubernetes, VM orchestration • Emerging Tech — Cryptography (IAM, RBAC, DLP, encryption), Machine Learning with Python & Spark ⸻ 💡 Key Achievements • → 60% faster time-to-insight by rebuilding legacy ETL workflows on GCP serverless • → Designed and Implemented several Data Pipelines optimizing the end to end performance by upto 4x with simple design patterns of Data Engineering. • Architected a CI/CD pipeline using Cloud Build & Deploy, reducing delivery time by over 50% • Led mainframe-to-GCP migration, cutting infra costs by 40% while modernizing data architecture • Spearheaded Snowflake integration for scalable data warehousing in multi-cloud environments ⸻ 🤝 Leadership & Mentoring I thrive on collaborating with cross-functional teams (4–20+ members), guiding them to craft cloud-native solutions that align with business goals. Known for excellent stakeholder communication, agility training, and customer-centric delivery, I am passionate about lifting team performance and sharing knowledge. ⸻ 🔭 Current Focus I’m actively exploring MLOps architectures and leading workshops around AI/ML data workflows using Spark and Python—looking to connect with peers in cloud-native AI innovation. ⸻ ☎️ Let’s Connect If you’re seeking an expert to Mainframe modernization programs, redesign data platforms, deploy serverless pipelines, or drive cloud transformation initiatives — feel free to reach out. I love exchanging ideas and exploring collaboration opportunities!

Stackforce AI infers this person is a Cloud Data Architect specializing in scalable solutions for CPG and Beauty Tech industries.

Location: Kolkata, West Bengal, India

Experience: 18 yrs 9 mos