Data Management

Service Description

Our consultants possess a strong knowledge of cloud data platform technologies, with
expertise in Azure SQL Server Databases, data lake storage, and data warehousing
solutions. They are highly proficient in multiple programming languages, particularly
Python, and have a solid understanding of data management, governance, data design,
and database architecture. The consultants excel in data modelling, integrations,
orchestration, and has experience building processes for data transformation, ingestion,
and loading. They have extensive experience with developing on Azure Cloud
environment, specifically with Azure SQL DB, Synapse, Data Factory, Blob Storage, and
Data Lake. Additionally, they are skilled in designing and developing ELT pipeline processes
using Spark and have knowledge of on-premise Microsoft SQL Server. The consultants are
well-versed in T-SQL, has experience with SSIS and SSAS, and possesses good knowledge of
GIT and DevOps. They exhibit strong communication skills and have the ability to perform
minor DBA tasks if required. Optional capabilities include knowledge of business
intelligence, analytics, reporting, data visualization, additional programming languages,
data modeling, and database design.

List of services provided:
1. Designing and implementing ELT data pipelines using Spark.
2. Performing data transformations to populate data-hub, data-lake, data warehouse,
reporting databases, and downstream data marts.
3. Developing technical documentation for ELT-related team projects.

This list is not exhaustive and there may be additional services that the consultant can
provide based on their experience and expertise.