Data Management Consultation | Cloud Infrastructure

Nabeel Farooq

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About this service

Summary

I offer tailored data management and cloud infrastructure consultation services designed to optimize your business operations. Leveraging top-tier tools like Databricks, AWS, Google Cloud Platform, and Azure, I deliver scalable solutions that enhance data integration and IT infrastructure. My unique approach combines industry expertise with personalized support, ensuring seamless adoption and maximized efficiency for your organization.

Process

Initial Consultation:

Conduct a detailed discussion to understand your business needs and current data management systems.

Identify key objectives and challenges.

Assessment:

Perform a comprehensive analysis of your existing data infrastructure.

Identify areas for improvement and potential opportunities.

Solution Design:

Develop a customized plan for data management and cloud infrastructure.

Select appropriate tools and technologies, such as Databricks, AWS, Google Cloud Platform, Google Cloud Datastore, and Azure.

Implementation:

Execute the designed solution, including data migration, integration, and setup.

Ensure minimal disruption to your business operations.

Optimization:

Fine-tune the system for optimal performance.

Implement best practices for data security and management.

Training & Support:

Provide comprehensive training to your team for smooth adoption.

Offer ongoing support to address any issues and ensure continued success.

Review & Reporting:

Conduct a final review to ensure all objectives are met.

Deliver detailed reports and actionable recommendations for future improvements.

What's included

Comprehensive Data Management & Cloud Infrastructure Solutions
I can provide consultation related to Data Pipeline/Data warehouse/Data Lake/Data Mesh/Data Extraction system/Data migration system/Data Integration system. Other tools for Data Pipelines: • Airflow • DBT • PostgreSQL, SQL Server, MySQL, Snowflake • MongoDB, Elasticsearch • Kafka • Apache Hadoop • Apache Spark • Apache Beam
Consultation on different sets of data queries
I can provide answers to queries regarding the following mentioned tools. Cloud Data Pipeline: • Google Cloud Platform: Bigquery, Looker Studio, Cloud Run, Dataflow, Data proc, Google Sheet, GA4, Cloud Storage, Firestore • Amazon Web services: Lambda Function, EC2, ECS, Fargate, AWS Glue, Athena, Redshift, EventBridge, SNS, SQS, AWS EMR • Microsoft Azure: Data Factory, PowerBI, Blob Storage, Azure Databricks, Cosmos DB

Example projects