Anupriya Kumari

Software Engineer

Noida, Uttar Pradesh, India3 yrs 9 mos experience

Highly Stable

Key Highlights

Microsoft Certified Azure Data Engineer with 3 years of experience.
Expert in building ETL pipelines and data modernization.
Passionate about delivering secure and scalable data platforms.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions for the Fintech sector.

Contact

anupriya.kumari@impetus.com LinkedIn

Skills

Core Skills

Data EngineeringEtl & Data Pipelines

Other Skills

ADFSAWS Command Line Interface (CLI)AWS GlueAWS LambdaAWS Step FunctionsAlgorithmsAmazon RedshiftApache SparkAwsAzure Cosmos DBAzure Data FactoryAzure Data LakeAzure Data Lake Storage Gen2Azure DatabricksAzure Functions

About

Hi, I’m Anupriya Kumari, a Microsoft Certified Azure Data Engineer with 3 years of experience in designing and implementing scalable data solutions in the cloud. Currently working at HCL Technologies, I specialize in building robust ETL pipelines and driving data modernization for clients in the banking sector. I have hands-on experience in end-to-end development using Azure Data Factory, Azure Databricks, ADLS Gen2, and PySpark, helping enterprises make better decisions through clean, well-orchestrated data flows. My role focuses on transforming raw data into actionable insights by leveraging automation, best practices in data governance, and secure cloud architecture. 🔹 Key Expertise: Azure Cloud Services: Data Factory, Databricks, ADLS Gen2, Key Vault, Logic Apps ETL & Data Pipelines: Incremental load, SCD Type 1 & 2, Delta Lake, Data Cleansing Big Data Technologies: PySpark, Spark SQL, Notebook Development CI/CD & DevOps: Git, Azure DevOps for data pipeline deployment Automation & Scripting: Python, Parameterized Pipelines, Linked Services API Integration: Ingesting REST API data using ADF workflows Security & Monitoring: Managed Identity, Key Vault, Activity Logs, Alerts 🎓 Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Fundamentals (DP-900) I’m passionate about delivering high-performance data platforms that are secure, scalable, and aligned with business needs. I continuously strive to learn and explore the latest advancements in cloud data engineering.

Experience

3 yrs 9 mos

Total Experience

3 yrs 2 mos

Average Tenure

9 mos

Current Experience

Impetus

Software Engineer

Sep 2025 – Present · 9 mos · Noida, Uttar Pradesh, India · Hybrid

.Working on AWS services including Glue, Lambda, and Step Functions for automating and orchestrating data pipelines.
Designing and implementing ETL/ELT workflows using AWS Glue and PySpark.
Creating, scheduling, and validating QA jobs to ensure data accuracy and reliability.
Preparing and delivering client presentations on solution design, architecture, and project progress.
Building custom migration frameworks for migrating IBM DataStage (legacy ETL) to AWS Cloud, including job conversion and workflow modernization.
Supporting and integrating hybrid data engineering solutions across AWS and Azure environments.

AWS GlueAWS LambdaAWS Step FunctionsPySparkData EngineeringETL & Data Pipelines

Hcltech

2 roles

Analyst

Promoted

Oct 2023 – Nov 2025 · 2 yrs 1 mo · Noida, Uttar Pradesh, India · Hybrid

Project Overview:
Working on end-to-end development of data pipelines and data integration solutions using Azure services to support enterprise reporting and analytics. The project involves ingestion, transformation, and loading of large datasets from various sources into the cloud data lake and downstream systems.
Roles & Responsibilities:
Designed and developed scalable ETL pipelines using Azure Data Factory (ADF) for batch and incremental data loads.
Created and optimized Notebooks in Azure Databricks to perform data transformation, cleansing, and aggregation for downstream analytics.
Ingested and stored structured and unstructured data into Azure Data Lake Storage Gen2 (ADLS) with well-defined folder structures and security.
Wrote complex SQL and T-SQL queries for data validation, transformation logic, and reporting needs.
Implemented data flow orchestration using ADF pipelines with triggers, parameters, and dynamic content.
Managed source-to-target mappings and maintained documentation for data processes.
Utilized Azure DevOps for version control and deployment of ADF and Databricks artifacts.