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@anishatuladhar
Experienced SQL/ETL/BI Developer with strong cloud data solutions expertise.
I am a seasoned SQL/ETL/BI Developer with over 5 years of experience in designing, developing, and implementing data warehouse applications, both on-premises and in the cloud. My expertise spans across various cloud platforms, particularly Microsoft Azure, where I have successfully managed and optimized data solutions. I have a solid understanding of the software development lifecycle (SDLC) and have actively participated in requirement gathering, system analysis, and deployment processes.
Throughout my career, I have demonstrated proficiency in ETL processes using tools like SSIS, Informatica, and Talend, integrating data from diverse sources to build robust data pipelines. My experience includes developing dynamic dashboards and reports using Power BI and Tableau, enabling stakeholders to make data-driven decisions. I thrive in collaborative environments, working closely with cross-functional teams to ensure data integrity and quality while implementing innovative solutions that drive business success.
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Work history, roles, and key accomplishments
Clear View Healthcare Partners
Oct 2022 - Present (3 years 1 month)
As a Sr. SQL / BI Developer, I collaborated with cross-functional teams to translate business requirements into technical designs and developed robust ETL workflows using SSIS. I designed data warehouse solutions, ensured data quality, and built dynamic web applications with SQL Server as the back-end, while also managing NoSQL databases and optimizing performance.
SimpliSafe
Dec 2021 - Sep 2022 (9 months)
In my role as SQL / ETL Developer, I partnered with DBAs to design Azure Data Factory pipelines and developed advanced SSIS packages. I led the implementation of scalable data warehouses and collaborated with teams to drive Agile ceremonies, while also creating interactive dashboards in Power BI and Tableau.
DJ’s Financial Services
Sep 2019 - Nov 2021 (2 years 2 months)
As a SQL Developer, I translated business requirements into technical documentation and developed scalable SQL Server database solutions. I built ETL pipelines using SSIS and Azure Data Factory, implemented data quality checks, and created interactive dashboards for stakeholders, while also managing cloud-based data solutions.
Degrees, certifications, and relevant coursework
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Software and tools used professionally
Azure Synapse
Apache Spark
Talend
Microsoft Azure
Google Cloud Platform
GitHub
Kubernetes
Jenkins
Jupyter
NumPy
Pandas
PySpark
DB
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
Gmail
.NET Core
.NET
ASP.NET Core
Databricks
Terraform
Visual Studio
Azure DevOps
Jira
Java
ASP.NET
PowerShell
TensorFlow
scikit-learn
Kafka
Apache NiFi
Grafana
Windows
Windows Server
Data Profiler
Azure SQL Database
Time Analytics
Root Cause
Amazon Web Services (AWS)
SQL
Azure Cosmos DB
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