Bharath Rayala

About Bharath Rayala

Experienced and certified Senior Data Engineer with 9+ years of hands-on experience in designing, building, and optimizing large-scale data systems in the computer software and analytics industry. I specialize in end-to-end data platform engineering—ranging from batch and real-time streaming pipelines to modern data warehouse architecture using cloud and open-source technologies.I’m a Google Cloud Professional Data Engineer certified expert and a graduate of the University of Connecticut with a Master\'s degree in Business Analytics and Project Management. Over the years, I’ve delivered scalable data solutions using tools such as DBT, Snowflake, BigQuery, and Airflow, and have built robust data infrastructure leveraging GCP, Azure, and AWS platforms. My work includes implementing Spark-based distributed data architectures, developing real-time streaming pipelines using Kafka, and optimizing performance in data-intensive environments.My technical toolkit spans DBT, Spark, Kafka, Informatica, Azure Data Factory, Azure Synapse, ADLS Gen2, Azure DevOps, Snowflake, Oracle, SQL Server, GCP, Hadoop, Hive, Databricks, Google Colab, Airflow, BigQuery, SQL, Python, Excel, Tableau, JMP, MS Visio, MS Office, MS Project, JIRA, and Terraform. I have deep experience in ETL/ELT design, dimensional and predictive modeling, data warehousing, data quality management, exploratory data analysis, and cross-functional collaboration. I also bring strong soft skills to the table, including leadership, team building, project planning, stakeholder communication, and coordination across technical and non-technical teams. I’ve led requirements-gathering sessions with cross-functional partners to ensure that data solutions align closely with business needs, helping bridge the gap between data engineering and strategic decision-making.I’m currently seeking full-time opportunities as a Senior Data Engineer, Senior Software Engineer - Data Platform, or Senior Analytics Engineer. I’m passionate about transforming raw data into valuable insights and enabling business teams with trustworthy, scalable data systems.

Experience

1. Senior Data Engineer

   Kevala

   May 2025 — Present

   Designed and optimized large-scale ETL/ELT pipelines on GCP using BigQuery, Cloud Composer (Airflow), and GCS, enabling ingestion and transformation of 80TB+ datasets. Implemented partitioning and clustering strategies in BigQuery to improve query performance and cost efficiency->Developed reusable and parameterized dbt data models leveraging Jinja templating and YAML-based testing, significantly reducing onboarding time for new clients by eliminating the need to rebuild models from scratch, while enforcing data quality, lineage, and unit testing standards across projects->Led troubleshooting and root-cause analysis of production data pipelines, resolving schema mismatches, expired DeltaShare tokens, and datatype conflicts. Partnered cross-functionally to implement fixes in BigQuery fact/dimension models, ensuring reliable and scalable data flows across analytics and data science teams.

Education

• R.C.M St Peters English Medium High School

  Secondary School Certificate, Maths, Physics, Chemistry, Biology, Social, English

  1999 — 2009

• KL University

  Bachelor's degree, Computer Science

  2011 — 2015

• University of Connecticut School of Business

  Master of Science - MS, Business Analytics and Project Management

• Narayana Group of Education

  Intermediate Education, Maths, Physics & Chemistry

  2009 — 2011

Skills

• Windows
• Data Analytics
• Microsoft Office
• Dataware Housing
• Extract, Transform, Load (Etl)
• Html
• Mysql
• Java Enterprise Edition
• C++
• Management
• Powerpoint
• Microsoft Excel
• Javascript
• Informatica
• C
• Programming
• Leadership
• Java
• Sql
• Microsoft Word
• Research