Mohammed I. Email & Phone Number

Bengaluru, KA, IN

Bengaluru, Karnataka, India

• Developed a scalable pharmacy management system to optimize medication dispensing and inventory management. Automated daily tasks, ensuring accurate prescriptions, optimal stock levels, and regulatory compliance.
• The MNK Pharmacy project focused on creating a scalable and efficient pharmacy management system to optimize the medication dispensing process and inventory management.
• Automated key pharmacy operations, including prescription handling and inventory control, ensuring 99.5% accuracy in medication dispensing and maintaining optimal stock levels, reducing stock discrepancies by 15%.
• Converted QlikView code into Databricks equivalents, translating complex QlikView scripting and data transformation logic into PySpark and SQL, leading to 30% faster processing times and enhancing the system's.

• At Infosys, I had an enriching experience in a highly positive work environment, where I had the opportunity to apply and enhance my skills in developing robust solutions for business requirements. Starting from the.
• Analyzed 100+ user stories and acceptance criteria to clarify project scope and desired outcomes, resolving ambiguities and reducing project delays by 15%.
• Provided task estimations based on detailed project analysis, contributing to a more accurate project timeline with an improved estimation accuracy of 90%, ensuring resources were allocated effectively.
• Utilized PySpark to perform data cleaning, transformation, and integration on 10+ TB of data, ensuring data accuracy and consistency, which improved overall processing efficiency by 20% and supported enhanced analytics.

Bengaluru, Karnataka, India

• The client ABC Bank has decided to migrate its existing data warehouse from Snowflake source systems to cloud to modernize with focus on establishing next-generation analytical services and leveraging cloud.
• Developed a scalable Native Azure solution for Salesforce to Azure Synapse ingestion, streamlining data flow across multiple departments and improving data pipeline efficiency by 30%.
• It helped to move ingestion pipelines from Snowflake and saved cost for heavy license fee
• This generic framework helped other business units for smooth ingestion of newly onboarded Snowflake object into Azure Synapse.

Bengaluru, Karnataka, India

• The project focused on designing and deploying a scalable, fault-tolerant data storage and processing solution using HDFS. It handled large volumes of structured and unstructured data across multiple nodes, ensuring.
• Designed and configured HDFS clusters with Namenode and Datanode setup for distributed storage. Loading the transformed data into the desired destination, such as a database.
• Built solution using Hadoop Ecosystem (HDFS, YARN), Spark and Python
• Managed data ingestion pipelines using Apache Sqoop for importing data from relational databases and Apache Flume for real-time log collection.