Home

Maheshwari A - Data Engineer

[email protected]

Location: Chicago, Illinois, USA

Relocation: NO

Visa: L1B

Resume file: Maheshwari_Sr Cloud Data Engineer_1745266776041.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

Maheshwari Professional Summary: Over 13 years of experience as a Data Engineer, specializing in Cloud Data Engineering, Microsoft Business Intelligence (MSBI SSIS, SSRS), and Power BI/Tableau development. Extensive expertise in SSIS (13 years) for data integration, SSRS (6 years) for reporting and analytics, and Azure (5+ years), including Azure Data Factory, Databricks, Azure Data Lake and Azure SQL Database. Good experience in AWS cloud services, including AWS Glue, Amazon Redshift, Amazon S3, and AWS Lambda. Strong background in ETL pipeline development, cloud-based data solutions, and analytical dashboarding. Hands-on experience in Power BI/Tableau for creating visualizations, dashboards, and data storytelling to drive business insights. Experience in Power BI/Tableau Server administration, performance tuning, and security management. Proficient in SQL, Python (PySpark), and automation of data ingestion and transformation processes. Hands-on experience in containerization using Docker and building CI/CD pipelines for cloud-based applications. Expertise in database optimization, system performance tuning, and disaster recovery planning. Skilled in API development and integration, leveraging Python and Web APIs to streamline data access and interoperability. Strong ability in technical and functional specifications creation, including user interface design, navigation flows, logic diagrams, data models, and process automation using MS Visio, DrawIO, and VS Code. Experience in system design (both low-level and high-level architecture) and workflow automation. Expertise in cloud security, IAM roles, multi-AZ architectures, and cloud-based storage management (Azure Data Lake, S3, AWS Pilot Light DR). Experience in SDLC aspects, including requirements gathering, application configuration design, business process analysis, scripting, code deployments, escalations, and urgent issue resolution using JIRA, ServiceNow, and CRM systems. Experience in writing database queries, stored procedures, triggers, and background jobs in MSSQL. Technical Skills: Programming Languages : Python (pyspark), Advanced SQL, T-SQL, Power Query Cloud Platforms : Azure Databricks, Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, Amazon S3, Amazon EMR, AWS Glue, Redshift, RDS, DynamoDB, EC2, Cloud Front, Kinesis, Cloud Watch, Lambda, API Gateway, Fargate Database Management Systems : Microsoft SQL Server, Dynamo DB, MySQL, Mango DB ETL/ELT : Azure Data Factory, SSIS, GoAnyWhere Data Formats : XML, JSON, CSV, Delimited, Parquet Certifications : Azure data Engineer Associate, Azure Data Fundamentals, Azure Fundamentals, Analyzing and Visualizing Data with MS Power BI Data/ Error Analysis & BI Tools : Power BI, Tableau, Microsoft SQL Server Reporting Services (SSRS), Amazon QuickSight Analytical Tools : Azure Analysis Services and SSAS Version Control & CI/CD : Git, Team Foundation Server (TFS), Azure ADO, Jenkins Scripting & Automation : Shell Scripting, YAML, Python Scripting Security & Encryption : Azure Key Vault, Data Encryption Collaboration Tools : Jira, ADO Keywords: continuous integration continuous deployment business intelligence sthree database microsoft Arizona