I focus on data engineering, big data systems, and distributed data processing.
My work involves Apache Spark, Hadoop, SQL/NoSQL databases, Docker, and cloud-based data platforms. I am also pursuing my M.Sc. in Informatics at Nile University, where my research focuses on SQL MATCH_RECOGNIZE-style row pattern recognition for Python DataFrames.
Languages: Python, Java, SQL
Big Data: Apache Spark, PySpark, Spark SQL, Spark Structured Streaming, Hadoop, HDFS, MapReduce, Hive, HBase
Databases: PostgreSQL, MySQL, MongoDB, Cassandra
Tools & Platforms: Docker, Git, Linux, Databricks, AWS S3, Delta Lake
Core Areas: ETL/ELT, Batch Processing, Stream Processing, Data Warehousing, Data Modeling, Query Optimization, Performance Tuning
Row Pattern Recognition for Pandas: Bringing MATCH_RECOGNIZE to Python DataFrames
M. Lawande, M. El-Helw, and A. Awad
2026 IEEE 23rd Mediterranean Electrotechnical Conference, MELECON
- LinkedIn: linkedin.com/in/monierlawande
- Google Scholar: Monier Lawande
- ORCID: 0009-0002-6531-8709
- Email: monierashraf50@gmail.com

