Bharath Rayala
Senior Data Engineer @Kevala
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WORK HISTORY
Senior Data Engineer @Kevala
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
KL University
Bachelor's degree, Computer Science
University of Connecticut School of Business
Master of Science - MS, Business Analytics and Project Management
Narayana Group of Education
Intermediate Education, Maths, Physics & Chemistry
SKILLS
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.
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