Software Engineer Resume

SUMMARY:

MCSA & Azure certi ed | 4 years of experience in Software Development Life Cycle includes Planning, Requirements Analysis, Design, Documentation, Implementation, Testing, and Deployment | Production support | Understanding and Experienced with Azure Cloud platform, Database queries, Power BI reports | Knowledge on Amazon AWS services | Masters CS Graduate

TECHNICAL SKILLS:

Python, MySQL, Microsoft PowerBI, DAX, Microsoft SQL Server, Pyspark
Azure services like Azure SQL Database, Data Factory (ADF), Databricks (ADB), Analysis services (AAS), Data Lake (ADLS), Azure Blob Storage, Datawarehourse (ADW), Azure Synapse, Storage, Key vault
Azure Devops, Git, Visual Studio
SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), Tabular, Cube
AWS services like Identity & Access Management (IAM), EC2, S3 bucket, Amazon Relational Database Service (RDS), Amazon Cognito, Lambda, API Gateway

WORK EXPERIENCE:

Confidential

Software Engineer

Responsibilities:

Working with the client to comprehend the project's scope and requirements and to offer solutions.
Worked on the Planning, Requirements Analysis, Design, Implementation, and Deployment, Unit Testing, and Acceptance Testing phases of the Agile Software Development Life Cycle.
Involved in using virtual machines and database servers to resolve production data difficulties
Delivering data solutions using REST APIs and Azure services
Agile development approaches are being implemented, promoted, and improved upon.
Defined best coding practices to be followed in the entire organization

Confidential

Software Engineer

Responsibilities:

Migrated on - premises resources to Azure
Critical metrics were analyzed, and reports were produced and presented to the client's top management team. The client was appreciative.
Optimized the run time of the stored procedures and Databricks Notebooks
Set up CI/CD release pipelines for resource deploymentsImplemented Role Level security and BVT for performance improvement of Power BI reports
Created Pipelines in ADF using Linked Services/Datasets/Pipeline to Extract, Transform and load data from di erent sources like Azure SQL, Blob Storage, and Azure SQL Data warehouse, Azure Data Lake Services. Scheduled and monitored the jobs in Azure Data Factory for the automated process.
Data Ingestion to one or more Azure services - Azure Data Lake, Azure Storage, Azure SQL, Azure DW and processing in Azure Databricks.
Created and developed databricks notebooks for data load and process using SQL, PySpark, Python modules numpy, pandas, SparkSQL and to implement business logic.
Created Build and Release for modules in production environment using Visual Studio Team Services (Azure DevOps).
Experience with various sources to pull data into Power BI such as SQL Server, Excel, SQL Azure, Tabular, Cube etc to build reports.
Created SSAS cube/tabular with KPIs, aggregation, measures using DAX, relationships between Dim and Fact tables for the front-end analysis team and to build Power BI reports.
Maintain secrets in Azure Key vault service in Azure environment.
Product Backlog Items, User Stories, Tasks, and Bugs were maintained using Azure Devops.
Merge code to Azure Devops Git repository and to automate Azure Deployment of CI/CD process.Designed, developed, and tested the ETL to populate data from multiple source systems.
Implemented SSIS packages to perform Extract, Transform and Load (ETL) data into storage services such as database.
Written Stored Procedures, Functions, Views and T-SQL queries to capture updated and deleted data. Scheduled and monitored jobs and alerts using SQL server.
Written queries with joins and common table expressions to simplify complex queries involving multiple tables in the SQL stored procedures.
Utilized multi-dimensional and tabular model in analysis services to pull and generate reports directly from back-end relational data sources.
Developed expressions to calculate, group, filter, parameterize the numbers using DAX and format power bi report contents and developed Power BI graphical and visualization solutions for creating interactive dashboards.
Utilized Power BI to create various analytical dashboards that depicts KPIs such as billing hours along with slicers and dicers enabling end-user to make filters.
Involving in developing test cases for Unit Testing.
Exposure with excel sheet, flat files, CSV files, SQL database, and tabular to generate adhoc reports.

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