Mohamed Giyasudeen
Architect @Tiger Analytics
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WORK HISTORY
Architect @Tiger Analytics
Chennai, IN
Led the end-to-end design and architecture of scalable, enterprise-grade data solutions, aligning closely with both business goals and technical standards. Defined and implemented data engineering best practices, optimizing Azure Data Factory, PySpark, and Databricks pipelines for performance, scalability, and long-term maintainability. Architected robust, automated data ingestion frameworks that significantly enhanced data quality, governance, and reliability across diverse source systems. Designed and fine-tuned Delta Lake architecture within Databricks, resulting in a 40% boost in query performance for analytics and reporting use cases. Collaborated with stakeholders and cross-functional teams to shape data strategies, drive advanced analytics initiatives, and deliver actionable insights through Databricks-native visualizations.
EDUCATION
Aalim Muhammed Salegh College of Engineering
Bachelor of Engineering (B.E.), Electronic and Communications Engineering
SKILLS
ABOUT MOHAMED GIYASUDEEN
Architect | Big Data Engineering | 13 Years ExperienceWith 13 years of experience, including 8 years in Big Data Engineering, I specialize in architecting scalable and efficient data solutions. My expertise spans Big Data technologies, cloud platforms, and DevOps, ensuring robust, high-performing systems that drive business insights. Big Data & Cloud ExpertiseI have extensive experience in PySpark, Hive, HDFS, and Databricks, working with structured and semi-structured data for advanced ETL, data transformations, and analytics. My work in Azure cloud services and AWS includes building optimized ADF pipelines, integrating with Synapse, leveraging Delta tables, and using AWS S3, EMR, Athena, and Redshift for seamless data storage, processing, and analysis. This has led to a 40% performance boost in data processing. Driving Business ImpactEngineered PySpark scripts for complex data aggregation and seamless data transmission to downstream teams, enabling informed decision-making.Built ADF pipelines integrating Azure SQL, Blob Storage, and Synapse, optimizing data flow across systems.Designed scalable solutions for massive datasets, leveraging HDFS, SQL, and NoSQL (HBase) to meet end-user demands.Utilized AWS services (S3, EMR, Athena, Redshift) to improve data storage, query performance, and analytics in cloud environments. Passionate About InnovationI thrive on exploring emerging technologies in Big Data and continuously enhance systems for better performance, scalability, and efficiency. Technical Competencies: Big Data: HDFS, Kafka, Hive, PySpark, Sqoop, NiFi Programming: Python, SQL, PL/SQL, Unix Shell Scripting Databases: MySQL, Oracle 12C, NoSQL (HBase) Cloud: AWS (S3, EMR, Athena, Redshift), Azure (Databricks, Data Factory, Synapse) DevOps & Tools: Git, JIRA, Bitbucket, TFSSnowflake Let’s Connect!I’m always open to discussions on Big Data, Cloud, and AI-driven data solutions. Feel free to reach out via email at g••••••@gmail.com to connect further.
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