Sudheer Kumar Rayasam
DATA ENGINEER
Hyderabad,TS
Summary
Data Engineer with 5 years of experience designing and building scalable data platforms and analytics solutions across OTT, AdTech, and Telecommunications domains. Proven expertise in Azure Data Factory, Databricks, Snowflake, dbt, Airflow, and PySpark, with strong hands-on skills in SQL and Python. Adept at leading teams, architecting robust data pipelines, and delivering high-quality, analytics-ready datasets that enable data-driven decision-making. Currently leading multiple cross-functional data initiatives at DAZN, an OTT streaming platform, driving efficiency, automation, and actionable insights across critical business functions such as Advertising, Revenue, and iGaming.
Overview
5
5
years of professional experience
3
3
Certifications
4
4
years of post-secondary education
Work History
Data Engineer
DAZN
09.2024 - Current
- Team Lead: Managing a team of 3 engineers; overseeing project delivery across four concurrent data initiatives.
- Advertising Tech Transformation Layer: Designed and implemented dbt-based transformation pipelines on Snowflake, preparing analytics-ready data for Power BI dashboards. Optimized complex SQL transformations, improving query performance by 30%.
- Advertising Revenue (Legacy Project): Managed end-to-end ETL pipelines integrating data from Microsoft Dynamics 365 to downstream systems. Automated extraction and transformation processes using Airflow DAGs, improving SLA adherence.
- IGaming Analytics Platform: Worked on micro-batch (every 15 minutes) Airflow + dbt pipelines for wallet and transaction-level data ingestion and processing. Designed robust data models to support wagering, deposits, and GGR calculations for regulatory reporting.
- Foxtel Australia Data Migration (Ongoing): Leading data migration initiative from Foxtel to DAZN ecosystem, leveraging AWS Glue, S3, and Spark for transformation and validation.
- Environment & Tools: Snowflake, dbt, Airflow, AWS (Glue, S3), Spark, Redshift, Python, SQL, MS SQL (SSIS).
- Impact: Enabled DAZN to unify advertising and gaming analytics pipelines under a single, automated framework—reducing manual intervention and increasing platform reliability.
Data Engineer (Azure Data Platform)
Tata Consultancy Services (TCS)
02.2021 - 09.2024
- Client: Proximus – A leading European Telecommunication Provider
- Project: Data Quality & Integration Framework
- Key Responsibilities & Achievements: Designed and managed end-to-end ETL pipelines using Azure Data Factory (ADF), Databricks, and ADLS Gen2 to integrate data from multiple sources (CRM, Fiber, Mobile, Internet). Built scalable PySpark data pipelines ensuring accuracy, completeness, and consistency between Proximus internal systems and third-party auditing data. Worked on data validation frameworks to monitor and measure quality metrics across multiple telecom domains. Automated critical workflows, improving data validation cycle times by over 40%. Collaborated with business analysts to interpret data anomalies and ensure cross-system consistency.
- Environment & Tools: Azure Data Factory, Databricks, ADLS Gen2, PySpark, SQL, Python.
- Impact: Delivered a unified data quality monitoring solution enabling Proximus to ensure consistent, accurate data across all service products (Fiber, Copper, Mobile, CRM).
Education
Bachelor of Technology (B.Tech) -
CRM Technical Campus
India 08.2016 - 11.2020
Skills
Data Engineering & Analytics: ADF, Databricks, Apache Spark, Snowflake, Redshift, AWS Glue, dbt, Airflow, Azure Data Factory
Programming: Python, PySpark, SQL
Cloud & Storage: Azure (ADLS Gen2, ADF), AWS (S3, Glue)
Data Modeling & Transformation: Data modeling, ELT/ETL pipeline design, modular SQL transformations
Certification
Google certified associate cloud engineer (gcp)
Timeline
Data Engineer
DAZN
09.2024 - Current
Data Engineer (Azure Data Platform)
Tata Consultancy Services (TCS)
02.2021 - 09.2024
Bachelor of Technology (B.Tech) -
CRM Technical Campus
08.2016 - 11.2020