Lokesh Talasila
Senior Data Engineer @Charles Schwab
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WORK HISTORY
Senior Data Engineer @Charles Schwab
Portland, OR, US
Developed and optimized over 50+ Spark-based ETL pipelines, improving processing time by 40% across customer data ingestion.Orchestrated 100+ complex workflows using Airflow and Cloud Composer, reducing manual task management by 85%.Designed Medallion Architecture (Bronze/Silver/Gold) for 12+ TB of data in BigQuery, improving data query speed by 30%.Enabled real-time data transformation for 100K+ streaming events/min using Apache Beam and Dataflow.Integrated DataPlex and Data Catalog to govern datasets, achieving 100% lineage traceability and improved compliance.
EDUCATION
Park University
Master's degree, information systems and business analytics
Acharya Nagarjuna University
Bachelor's degree
ABOUT LOKESH TALASILA
Certified cloud data engineer with over 12 years of experience in GCP and AWS environments, specializing in architecting end-to-end data pipelines and driving cloud-native data transformations for enterprise-scale systems. Proficient in a wide array of cloud services including BigQuery, Dataflow, Dataproc, Pub/Sub, Redshift, S3, Glue, EMR, and Lambda, with a strong focus on designing scalable, secure, and cost-optimized data solutions tailored to diverse business needs. Extensive experience in building and orchestrating complex ETL/ELT workflows using Apache Spark, Airflow, Cloud Composer, and dbt, while implementing Medallion Architecture and dimensional modeling for structured analytics. Hands-on expertise in real-time data processing and cloud migration, utilizing Apache Kafka, GCP Dataflow, and AWS DMS to modernize legacy systems and enable low-latency data streaming. Skilled in managing complete data life cycles—from ingestion and processing to warehousing and visualization—while ensuring performance, reliability, governance, and compliance across multi-cloud data ecosystems.
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