MUHAMMED FAZIL P H
Wayanad
Summary
Accomplished Systems Engineer with expertise in PySpark and SQL, driving data transformation at Infosys, Ltd. Enhanced ETL pipeline performance by 30% using Databricks optimization techniques. Collaborated effectively with analytics teams, delivering high-quality datasets for strategic insights. Proficient in Azure and Google Cloud, ensuring robust data solutions and seamless integration.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Systems Engineer
Infosys, Ltd.
01.2025 - Current
- Built and maintained PySpark-based ETL pipelines in Databricks to process high-volume Telecom data stored in AZURE/Database.
- Utilized Spark SQL and Delta Lake tables for data transformation, cleansing, and aggregation, enhancing analytics team capabilities.
- Applied Databricks optimization techniques like partitioning, Z-ordering, and caching to enhance performance.
- Developed and managed Delta Lake and external tables in Databricks, enabling structured access to processed datasets.
- Debugged and optimized Spark jobs by addressing skew, applying broadcast joins, and adjusting partitions to minimize shuffle.
Senior Systems Associate
Infosys, Ltd.
07.2023 - Current
- Developed batch ETL pipelines in Azure Databricks using PySpark, Spark SQL, and Delta Lake to process large-scale datasets efficiently.
- Optimized Spark workloads by applying caching, repartitioning strategies, Adaptive Query Execution (AQE), and by refactoring expensive wide transformations to improve pipeline performance.
- Designed and implemented Delta Lake tables following the Bronze → Silver architecture, applying efficient partitioning strategies based on columns such as date, region, and network type.
- Collaborated with data analysts to deliver curated datasets that supported product usage insights, customer behavior analysis, and recharge trend reporting.
Systems Associate(Trainee)
Infosys, Ltd.
07.2022 - Current
- Assisted in developing scalable batch data pipelines using PySpark and Spark SQL for a global banking client.
- Assisted in developing PySpark jobs to load structured data into Hadoop Distributed File System (HDFS).
- Created Hive tables and implemented transformations for reporting use cases.
- Developed logging, monitoring, and validation scripts for ETL workflows.
- Collaborated with team during Agile ceremonies to achieve sprint goals and meet deadlines.
Education
Bachelor of Science - Bachelor of Computer Applications
Manipal University
Jaipur10-2025
Diploma in electrical and electronics engineering -
Govt Polytechnic Meenangadi, Department of Technical Education
10-2021
Skills
- SQL and PL/SQL
- PySpark and Python
- Azure Data Factory
- Databricks
- Azure Synapse Analytics
- Azure Data Lake
- Google Cloud Storage (GCS)
- Data warehousing
- Data mapping
- Data quality assurance
- Data profiling
Certification
- Microsoft Certified Azure Fundamentals.
- Infosys Certified Junior Network Admin Professional.
- Infosys Certified Python Developer.
Accomplishments
- Improved data pipeline performance by 40% through optimized Spark and SQL transformations.
- Built a data validation framework in Python reducing manual QA effort by 50%
Awards
- Awarded for Delivery Ninja
- Awarded for Business Ninja
- Rise Awarded for Best Team - Project Excellence/ Solutions Architect
Timeline
Systems Engineer
Infosys, Ltd.
01.2025 - Current
Senior Systems Associate
Infosys, Ltd.
07.2023 - Current
Systems Associate(Trainee)
Infosys, Ltd.
07.2022 - Current
Bachelor of Science - Bachelor of Computer Applications
Manipal University
Diploma in electrical and electronics engineering -
Govt Polytechnic Meenangadi, Department of Technical Education