Uttam Kasundra — Software Engineer

Data Engineer Lead & Architect with 12+ years of experience delivering high-performance, scalable, and secure data platforms in fintech, digital advertising, and analytics domains. I design and implement Lakehouse and data warehouse architectures, streaming/batch pipelines, feature engineering, and AI/ML platforms, ensuring compliance, governance, operational excellence, regulatory and financial reporting requirements. Engineering leader closely partnering with Product Management, Data Science, Platform Strategy, and Technology teams to design and deliver high-impact data solutions that generate measurable business value. I have led cross-geo teams, mentored engineers, and driven delivery transformation, enabling SLA-bound releases and near real-time, low-latency ML/AI pipelines. Skilled in On-Prem Cloudera(CDP, CDE, CML), Cloud (AWS/CDP), Spark, Kafka, NiFi, Hive, Impala, Kubernetes, Docker, Airflow, and CI/CD pipelines, with strong experience in both RDBMS (MySQL, SQL Server) and NoSQL (Cassandra, MongoDB) databases, I combine deep technical expertise with strong leadership to solve complex data challenges and generate business impact. Passionate about building trusted and responsible data platforms that enable scalable innovation while maintaining strict governance and compliance alignment. With robust observability solutions using Datadog, OpenObserve, or Prometheus stack to deliver highly available, low-latency, and high-performance data platforms. Throughout my career, I’ve delivered solutions that improve revenue, reduce risk, and optimize operational efficiency, while embedding data governance, observability, and secure SDLC practices into every layer. I thrive at the intersection of architecture, analytics, and leadership, enabling organizations to leverage data as a strategic asset. Core Competencies: - Enterprise Data Architecture & AI/ML Pipelines - Streaming & Batch Processing, High-Throughput/Low-Latency Solutions - Data Governance, Security & Compliance (PCI-DSS, GDPR/DPDP) - Cloud Platforms, Distributed Systems & Orchestration - Leadership: Team Mentorship, Stakeholder Management, Roadmap Ownership Familiarity with Databricks, Microsoft Fabric's Lakehouse implementation, Delta Lake, Iceberg, and Parquet. Recognised for a deep technical foundation, cross-functional collaboration, and delivering high-impact data solutions aligned with business goals.

Stackforce AI infers this person is a Fintech Data Engineer with expertise in Big Data and AI/ML solutions.

Location: Vadodara, Gujarat, India

Experience: 13 yrs 2 mos