T
Tejasvi Meka
Tejasvi Meka
About
Detail
Data Engineer || AWS || Databricks || Spark || Python
Northlake, Texas, United States
I am an experienced Data Engineer with hands-on expertise in designing and building scalable data engineering solutions. I specialize in handling the challenges of data volume, velocity, and variety through high-throughput data ingestion, distributed processing, real-time streaming, and batch pipeline development.My skill set includes developing robust data pipelines for ingestion and transformation using Python and PySpark, building event-driven architectures with GCP Pub/Sub and Spark Streaming, and delivering efficient ETL workflows on platforms like Databricks and Amazon EMR. I have strong expertise in Spark (PySpark, Spark SQL, Scala), Hive, MapReduce, and data warehouse solutions, including migrating data from AWS S3 to Snowflake and optimizing query performance.I have implemented data quality frameworks with real-time monitoring using Spark Expectations, managed schema evolution and deployment via Liquibase, and orchestrated workflows with tools such as Airflow and BrickFlow. Additionally, I have extensive experience with Hadoop cluster management (Apache, Cloudera, AWS) and ETL/reporting tools like SSIS, Informatica, and Power BI.Driven by a passion for transforming raw data into actionable insights, I’m interested in data engineering and analytics roles where I can leverage my skills to build scalable, reliable, and high-performance data platforms.