Suman Saw

About Suman Saw

Databricks Certified Data Analyst with 12+ years of experience in Data Analysis, Testing and Automation of different products of Streaming and Broadcasting media.Currently working in Amagi Corporations for the product ThunderStorm-SSAI and Amagi Data Platform1. E2E testing of complex streaming data using Databricks, Amazon Athena and Snowflake2. Actively working as a single point of contact for all customer issues.Resolving customer issues within the assigned SLA.3. Worked as Snowflake Admin and designed Snowflake RBAC model for product Amagi Analytics 2.04. Data pipeline comparison and automation using python, pyspark and sqlPast Experiences:1. Well versed with latest streaming technologies used such as HLS/DASH/Smooth Streaming2. Extensively worked on various DRM\'s viz Google\'s Widevine, Apple\'s Fairplay and Microsoft\'s PlayReady3. Extensively worked on frontend to test various features in various platforms viz Web Browsers, Android, iOS, Apple TV, Android TV, OTT, Android Chromecast,iOS Chromecast, Airplay, Apple HomePod4. Worked on multiple frontend media players like VO, Exo, Dash.js, Native AV Player,BitMovin, Teatro5. Hands on experience in VSPP: Creating DRM/Device groups and mapping it to Azuki ACC for delivery of content to client6. RCA of the logged bugs with BE team and other stakeholders – which involves tracing of different client logs, awp server logs and Kibana logs7. Extensively worked on new features:• Pure Live, Live in timeshift mode, Timeslot based Live manifest,VoD, Catchup as DVR, Catchup from Live Timeshift Buffer, DVR,In-Progress DVR, Shared Recording, Private Recording,Download and Go• Stream Limit for Live, Catchup, DVR• Extensively worked on DRM v1, DRM v2, DRM v2 with CENC• PBR\'s aka Playback Business Rules• Multitenancy: Shared and Siloed Model• HDMI/HDCP: Widevine and Fairplay entitlements8. Involved in Automation testing for Reference Application: Writing feature files using Gherkin language9. Hands on experience in VoD Ingestion and changing configuration of service collections of Live services using Operator Portal10. Worked on Kollective SD-ECDN, Kollective RRA(Reduced Rights Agent) testing by configuringgMSA/local user on the host, NTLM Proxy authentication mechanism to provide authentication to gMSA user and testing of peering mechanism of SD-ECDN agent based browser type which relies on different streaming protocols: HLS/DASH/Smooth Streaming

Experience

1. Architect

   Amagi

   Oct 2025 — Present · Bengaluru, IN

   As an Architect for Amagi’s Analytics Data Platform (ADP), I drive the QA Architecture, Automation Strategy, and Quality Engineering vision for our large-scale data engineering ecosystem. I focus on building scalable, resilient, and intelligent automation frameworks that ensure data accuracy, reliability, and performance across complex analytics workflows.Leveraging Databricks as a core platform, I design and implement data validation frameworks that integrate seamlessly with ETL, ELT, and streaming pipelines — enabling automated, scalable testing across all analytics workflows. I collaborate closely with Data Engineering, DevOps, and Product teams to embed continuous quality practices and CI/CD automation throughout our data ecosystem.Key Focus Areas:1. Architecting data validation and automation frameworks on Databricks for large-scale data pipelines.2. Driving test strategy, observability, and continuous testing across distributed data systems.3. Establishing data quality metrics and governance models for analytics reliability.4. Enabling CI/CD integration and cloud-based QA frameworks (AWS, GCP).5. Mentoring engineers in test automation, data quality engineering, and shift-left QA practices.Passionate about bridging Data Engineering and Quality Engineering, I strive to ensure every analytics solution at Amagi delivers trusted, high-quality insights through a foundation of automation, scalability, and innovation.

Education

• DAV KOYLANAGAR,DHANBAD

  12th

  2003 — 2005

• A.I.T Chikmagalur

  B.E

  2006 — 2010