Lakhmi Avula

Skills

Proficient in real-time data processing with Kafka, Flink, Ignite, AWS Kinesis. Experienced in big data frameworks like Spark, Hadoop, Hive, Druid. Skilled in AWS (Glue, Redshift, Kinesis) and Azure (Data Factory, Synapse) for cloud-based data solutions. Strong in SQL (CTEs, window functions, joins) and databases like PostgreSQL, Delta Lake, Trino.
Expertise in Python (Pandas, PySpark, Dask, Modin) for data processing. Hands-on with ETL pipelines, data validation, partitioning, and indexing. Proven track record in real-time analytics, fraud detection, and BI/dashboarding.

About

Experienced Data Engineer with 3 years of hands-on expertise in building and optimizing scalable data pipelines and architectures. Skilled in both real-time streaming and batch processing using modern big data technologies. Proficient in cloud platforms, distributed systems, and advanced SQL for efficient data transformation and analytics. Strong in Python-based data engineering, focused on enhancing data quality, reducing latency, and enabling data-driven decision-making across diverse business domains.