Javaher

Data Visualization
Data Modeling
Data Migration
Data Cleansing
Exploratory Data Analysis
Designing & developing the Dashboards based on the requirements
Identify the patterns & trends on the data to provide the data-driven results.
Minimizing the columns which is more essential & keeping them in Silver layer & Gold Layer tables for taking the data-driven results.

Reporting daily progress to the operations manager.
Guiding the team.
Managing data analysts and directing them toward their goals.
Tracking and maintaining SLAs and TATs.
Setting team goals and monitoring key performances.
Analyzing FMCG products.
Having basic knowledge of Unix and Mainframe DBs.
Executing processes from input to end client.
Providing solutions to customers related to sales, product attributes, and timeline briefing.
Providing periodic KPIs to the client.
Provided training to 150+ associates across all sub-processes.
Created reports and KPIs based on client expectations.
Handled client inquiries for the entire team.
Maintained on-time delivery with defined quality.
Handled 150+ client ad-hoc projects and 8 major projects for quality improvement.
Taken 10+ new transitions across various teams and onshore.

Specialist in domain knowledge and application knowledge.
Handling the team to achieve production and quality.
Managing incidents and QE's.
Analyzing root cause on ServiceNow.
Conducting daily huddles and periodic team engagement activity.
Conducting 1:1 sessions with the team for monitoring and improving ability.
Extracting and visualizing reports using tools.
Performing methodologies to reduce manpower and automate things.
Having high-level knowledge in Microsoft Suite and Power BI.
Familiar with competitive category across various platforms.
Handling client queries and deliverables.
Expert in legacy and non-legacy DB.
Driving the team to complete projects on time.

Designing and developing dashboards based on requirements.
Identifying patterns and trends in data to provide data-driven results.
Providing dashboards for multiple levels and cross-functional departments.
Published 56 on-live dashboards across various departments.
Optimizing SQL queries for better performance to provide results quicker.
Scrutinizing old queries and modifying them for performance improvement.
Building multiple data models for various dashboards.
Reducing DAX functions to reduce slowness.
Minimizing columns and keeping them in Silver layer and Gold layer tables for data-driven results.
Migrating on-prem data from SQL DB to cloud Azure services.
Creating and deploying pipelines for smooth transformation from SQL DB to Azure Synapse.
Creating and deploying pipelines for data migration at regular intervals.
Using Azure Data Factory and Copy Activity to transfer data from SQL to Azure DB.
Monitoring pipelines for completion status.
Validating transformed data in Azure pipelines to ensure all data is available in cloud.
Performing live data validation to verify source DB data is available on Synapse Cloud DB.
Maintaining 15+ data sources for data transformation and migration.
Validating 15+ data sources on regular intervals.
Performing daily and monthly data validation.
Automating validation in Python to identify missing records.