Suman Kalyan Sahoo
Lead Data Engineer @Zenjob
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WORK HISTORY
Lead Data Engineer @Zenjob
Berlin, DE
Accountable for the architecture, strategy, and governance of Zenjob’s centralised data platform, enabling compliant, analytics-ready data across the organisation.Directed the migration from Amazon Redshift to Snowflake, designing an end-to-end data infrastructure with a governance-first posture on quality, privacy, and regulatory compliance.Built and operationalised an AWS-based data lake (S3, Glue, Athena, DMS) integrated with Snowflake, implementing SLAs, RBAC, and cost/performance guardrails.Designed and rolled out organisation-wide data catalog & lineage capabilities with ~80% documentation coverage, improving discoverability, ownership, and audit readiness.Led the implementation of dbt as the company’s transformation standard, building it from scratch and enabling a self-serve model where non-specialists can create tested, version-controlled models with minimal prior coding knowledge.Established data contracts between source data providers and the data platform team to reduce pipeline breakages, maintain compliance, and ensure consistent data quality.Partnered with Product, BI, and Compliance to align on governance policies, drive adoption of self-serve analytics, and improve time-to-insight across business teams.
EDUCATION
Biju Patnaik University of Technology, Odisha
Bachelor's degree
SKILLS
ABOUT SUMAN KALYAN SAHOO
Lead Data Platform Engineer (10+ yrs) specialising in governance-first data platforms. I set strategy, define architecture, and establish operating models that deliver compliant, high-quality, and self-serve analytics at scale.Accountable for the centralised data platform strategy, architecture and governance; enable trusted, analytics-ready data across the business.Architected end-to-end infrastructure on AWS (Amazon S3, AWS Glue, Amazon Athena, DMS) and Snowflake; led Redshift → Snowflake migration with SLAs, RBAC and cost/performance guardrails.Standardised dbt from the ground up; operationalised a self-serve model so non-specialists can ship tested, version-controlled models via Git/CI/CD.Instituted data governance & quality (PII, privacy, GDPR) and data contracts between sources and consumers to prevent pipeline failures and strengthen compliance.Rolled out enterprise data catalog & lineage with ~80% documentation coverage, improving discoverability, ownership and auditability.Expert in building greenfield Snowflake warehouses on AWS: modelling, performance, security, testing, Time Travel, Zero Copy Cloning, Snowpipe, Streams & Tasks, Data Sharing.Orchestrate reliable pipelines with Apache Airflow; implement observability, monitoring & alerting with defined SLAs/SLOs; support batch & streaming (Kafka).Partner with Product, BI, Security & Compliance; mentor engineers and turn governance into measurable business outcomes.Skills / Expertise:AWS (Amazon S3, AWS Glue, Amazon Athena, DMS)| Snowflake (Snowpipe, Streams & Tasks, Time Travel, Zero Copy Cloning, Data Sharing)| Amazon Redshift | dbt (data build tool)| Apache Airflow | PySpark | Python | SQL / SnowSQL | Kafka (batch & streaming)| ELT / ETL | Data Architecture & Modelling | Data Governance | Data Quality | Data Contracts | Data Catalog /Catalogue & Lineage (OpenMetadata, DataHub, Collibra)| Privacy, PII & GDPR | Observability, Monitoring & Alerting | RBAC | SLAs/SLOs | Git-based CI/CD | Modern Data Warehouse (DWH)| Data Lake / Datalake | Self-serve Analytics | Cost Optimisation
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