# Anisha Jambhulkar

Anisha Jambhulkar is a remote worker on Himalayas, Senior Technical Consultant at Perficient, based in India.

Source: https://himalayas.app/@anishajambhulkar

```text
I build Power BI dashboards, data pipelines, and reporting solutions that turn business data into decisions.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 49k+ EUR |
| Job categories | Power BI Developer, Data Analyst, Business Intelligence Developer, Data Engineer, Software Engineer, Technical Consultant, Data Consultant, Power BI Report Developer, Power BI Development, Power BI Engineer, Senior Power BI Developer, Power BI Specialist, Power BI Architect, Developer |
| Skills | Power BI, DAX, Power Query, Data Visualization, Data Modeling, SQL Server, T SQL, Common Table Expressions (CTEs), SSIS, Microsoft SSRS, Data Warehouse, Microsoft Fabric, Databricks, Azure Synapse, Lakehouse, Data Factory, Power Automate, Dataverse, Dynamics 365 CRM, SAP Hana, Python, Azure DevOps, Excel, AI Automation, Genie Code, ETL, Data Validation, DirectQuery, UAT, Salesforce, SQL, Column, Factory, Unify |

## What I'm looking for

```text
I'm seeking a challenging role in a growth-oriented organization where I can contribute to innovative data and analytics projects using my technical and analytical strengths. I'm eligible to work in Sweden and open to relocation.
```

## About

```text
I've delivered Power BI, SQL, and data-engineering solutions for Perficient, Nihilent Limited, Avira Insights Technologies, and Nsquare Xperts. I currently support a large-scale migration at Perficient, using Databricks notebooks, AI automation, Power BI APIs, and DevOps to streamline report and data-source transitions.

At Nihilent, I partnered with business stakeholders to turn reporting requirements into Power BI dashboards for IT service management and manufacturing. I introduced data-warehousing layers, built scalable ETL pipelines in Microsoft Fabric and SSIS, and developed reporting with Power BI, SSRS, DAX, Power Query, SQL Server, SAP HANA, Direct Lake, and on-premises gateways.

I've also built KPI dashboards for account onboarding, product support, sales, maintenance, and production reporting. My work includes data cleansing, validation, modeling, UAT, semantic-model optimization, scheduled refreshes, and secure access to reliable business metrics.

I enjoy translating business goals into practical BI solutions and improving existing reporting systems. I'm Microsoft Certified as a Power BI Data Analyst Associate and bring hands-on experience across the Microsoft data stack, Power Platform, Dynamics 365 CRM, Dataverse, and automated workflows.
```

## Experience

### Senior Technical Consultant (current)

[Perficient](https://himalayas.app/companies/perficient). May 2026 - Present

```text
Working on a large-scale migration project leveraging AI automation to streamline the entire migration lifecycle. Developing custom frameworks using Databricks notebooks and utilizing advanced AI tools for accelerated development and troubleshooting.
```

Skills: Power-BI, Databricks, Python, Genie-Code, AI-Automation, DevOps

## Education

### IIMP (Autonomous), Savitribai Phule Pune University

Master of Business Administration, Business Administration. 2020 - 2022

```text
Pursued an MBA at IIMP (Autonomous), Savitribai Phule Pune University from 2020 to 2022.
```

### Kalinga University

Bachelor of Business Administration, Business Administration

```text
Completed a Bachelor of Business Administration at Kalinga University in 2016.
```

### Maharashtra State Board

Higher Secondary Certificate, General Studies

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Completed Higher Secondary Certificate (H.S.C.) from Maharashtra State Board in 2012.
```

### Maharashtra State Board

Secondary School Certificate, General Studies

```text
Completed Secondary School Certificate (S.S.C.) from Maharashtra State Board in 2010.
```

## Tech stack

- Salesforce
- Databricks
- Azure DevOps
- Microsoft Excel
- Microsoft Power Automate
- SQL
- Microsoft Fabric
- Column
- Factory
- Unify

To contact Anisha, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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