Lavanaya dayala
@lavanayadayala
Results-driven Data Engineer with expertise in cloud-native architectures.
What I'm looking for
I am a results-driven Data Engineer with over 6 years of experience in designing scalable, cloud-native data architectures primarily in AWS and Databricks environments. My expertise lies in building high-performance ETL/ELT pipelines and real-time data streaming solutions, which have significantly improved data delivery latency by up to 40%. I have a proven track record of enabling advanced analytics and machine learning initiatives by delivering high-quality datasets and feature stores, boosting model accuracy by 20%.
In my current role as a Senior Data Engineer at Accenture, I architected a scalable data lakehouse using AWS S3 and Snowflake, which reduced query time by 45% across petabyte-scale datasets. I have collaborated with cross-functional teams to operationalize Delta Lake-backed features, increasing personalization model precision by 22%. My commitment to deploying secure, production-grade data platforms is reflected in my ability to enforce role-based data access, achieving 100% compliance with internal audit policies.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Accenture
Feb 2024 - Present (1 year 3 months)
Architected a scalable data lakehouse using AWS S3 and Snowflake, reducing query time by 45%. Built a real-time feature store using Kafka, Kinesis, and DynamoDB, enabling sub-100ms retrieval of 10M+ behavioral events daily for ML models.
Data Engineer
Infosys
Feb 2018 - Jan 2023 (4 years 11 months)
Designed a hybrid data lake using AWS S3, Redshift, and Databricks, centralizing financial data across 10+ systems. Engineered Kafka and Kinesis streaming pipelines to process 1.5M+ daily trade events, detecting anomalies with <5-second latency.
Education
Degrees, certifications, and relevant coursework
Jawaharlal Nehru Technological University, Anantapur
Bachelor of Engineering, Computer Science and Engineering
Grade: 3.5/4.00
Studied Computer Science and Engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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