Harikesh Yadav
Verified Expert in Engineering
Data Engineer and Back-end Developer
Harikesh is a talented back-end-oriented developer with over 18 years of experience in database architecture design, database programming, database administration, data engineering, business intelligence, big data, and performance tuning. He's worked on databases with TB-level data volumes.
Portfolio
Experience
Availability
Preferred Environment
Database Architecture, Data Warehousing, Azure, Microsoft SQL Server, Microsoft Power BI, Database Administration (DBA), Python, Amazon Web Services (AWS), Azure Data Factory, Databricks
The most amazing...
...projects I've developed are cutting-edge data and analytics solutions with terabytes of data.
Work Experience
Data Architect
Database Consultancy LLP
- Gained extensive experience in data engineering, cloud architecture, data architecture, ETLs, DevOps, data analysis, and big data technologies.
- Architected and implemented an end-to-end data solution in Azure and AWS with enterprise-grade scale and performance, seamless data migration, and low total cost of ownership.
- Developed and published database architecture standards and sizing guidelines. Provided SQL programming and coding optimization guidance to DB developers.
- Used SQL Sentry, SQL Profiler, extended events, execution plans, performance monitors, DMVs, and DBCC commands to identify and resolve performance issues.
- Utilized Power BI to build interactive and visually appealing dashboards and reports. Built Power BI data models and ran DAX queries and functions in Power BI.
- Implemented complex distributed and scalable data pipeline systems involving a huge amount of real-time and batch data handling using SSIS, Azure Data Factory, Databricks, AWS Glue, AWS Kinesis, etc.
- Generated a feasibility study on the SQL Server database, fixing non-compatible tables. Stored procedure and other features and made it compatible with SQL Azure on Cloud.
- Researched and developed POCs on emerging data technologies to improve new and existing solutions.
- Implemented end-to-end high availability and disaster recovery strategy in on-premise and cloud solutions.
- Developed expertise in database installation, capacity planning, high availability, disaster recovery, backup, and recovery strategy.
Data Engineer
Lifescan Labs of Illinois, LLC
- Designed a robust system architecture using Azure Databricks, integrating Azure Data Factory, Azure Key Vault, and Azure Blob Storage to meet evolving business needs.
- Successfully set up a state-of-the-art lakehouse platform using Azure Databricks, integrating various data storage and processing technologies.
- Constructed robust data pipelines for real-time and batch data ingestion from a variety of sources, including Kafka, Azure Blob Storage, relational and NoSQL databases, and APIs.
- Orchestrated intricate data processing pipelines using Azure Data Factory, ensuring a streamlined and error-free data flow.
- Created optimized data models within the Databricks Lakehouse, ensuring data integrity and efficient access.
- Integrated advanced security features and protocols, achieving high standards of data security and compliance with industry regulations.
- Balanced budget and performance requirements by managing and optimizing costs related to data processing and storage.
Power BI Developer
Ruth's Hospitality Group Inc - Main
- Engaged with business users to gather requirements, design visualizations, and provide training to use self-service BI tools.
- Created Power BI visualizations and dashboards as per the requirements.
- Analyzed the source system data sources and data warehouse.
- Created row-level security and published dashboards using Power BI workspace.
- Developed and maintained multiple Power BI dashboards and reports.
- Understanding the data connections and interdependencies between data tables in existing Cognos reports; based on that, prepared the data model in Power BI.
- Wrote extensively complex DAX queries to achieve the results.
SQL Optimization Developer
Agilon Health Management, Inc.
- Found and suggested areas of improvement in database architecture and designed the next-generation solution.
- Implemented database standards and naming conventions for the database objects.
- Defined, designed, analyzed, developed, documented, tested, and implemented database changes with accuracy and timeliness.
- Performed load testing before deploying major database versions to the production environment, monitoring performance, diagnosing issues, and fine-tuning the database.
Database Administrator
American Express
- Developed, deployed, and monitored complex DTS and SSIS packages to extract, transform, and load data into SQL server 2000 to 2005 from Mainframes, Oracle, SQL, text, and Excel sheets.
- Performed load testing before deploying major database versions to the production environment, monitoring performance, diagnosing issues, and fine-tuning the database.
- Suggested disk capacity, processors, and memory based on the capacity planning.
Database Administrator
Orange Business Services
- Created SQL scripts for maintaining administration tasks like backups, stats, and indexing. Developed and configured database replication for load sharing and disaster recovery purposes.
- Developed, deployed, and monitored complex DTS and SSIS Packages to extract, transform, and load data into SQL Server 2000, 2005 from Oracle, SQL, Text, and Excel Sheets.
- Upgraded the Microsoft SQL Server from 2000 to 2005 and DTS to SSIS packages.
Software Engineer
Teckinfo Solutions
- Worked on the systems study, understanding business flow on the client site.
- Designed, managed, and maintained the database in SQL Server 2000.
- Wrote stored procedures, views, indexes, triggers stored procedures, and functions in SQL Server 2000. Developed DTS packages for importing and exporting data from multiple sources.
- Designed the CRM software using VB, VC++ and Form Designer (company proprietary tool) and SQL Server 2000 according to customer requirement.
Experience
Real-time Analytics and Data Warehouse
Technologies: Azure Event Hub, Azure Data Warehouse, SSIS, PowerBI, Azure Functions
Energy Data Warehouse
Technologies: SQL Server 2012, SSIS, Informatica, SSAS, SSRS, SQL Sentry
Online Gaming Platform
Technologies: SQL server 2008 R2, SSIS, Hadoop, SQL Sentry, Red Gate SQL Toolbelt, and LiteSpeed.
Education
Bachelor of Engineering Degree in Information Technology
Dronacharya College of Engineering - Gurgaon, India
Certifications
Databricks Certified Data Engineer Associate
Databricks
SnowPro Core Certification
Snowflake
Microsoft Azure Data Engineer Associate
Microsoft
MongoDB SI Architect Certification
MongoDB University
Microsoft Certified Professional
Microsoft
Skills
Languages
Python, SQL, Snowflake, Visual Basic 6 (VB6), Visual Basic for Applications (VBA), C++, JavaScript
Tools
Microsoft Power BI, Microsoft Access, Erwin, Microsoft Visual C++
Paradigms
Business Intelligence (BI), ETL, Database Development, Database Design
Platforms
Azure, Databricks, Azure PaaS, Kubernetes, Amazon Web Services (AWS), Azure Synapse, Azure Functions, Azure Event Hubs
Storage
Database Architecture, Database Administration (DBA), Azure SQL Databases, Relational Databases, Microsoft SQL Server, SQL Server Integration Services (SSIS), NoSQL, SQL Stored Procedures, MySQL, Data Lakes, Azure SQL, Azure Cosmos DB, Master Data Management (MDM), Data Pipelines, SQL Server 2016, SQL Server 2000, SQL Server 2005, SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), Data Integration, MongoDB, SQL Performance
Industry Expertise
Accounting
Other
Data Warehousing, Data Engineering, Data Warehouse Design, Azure Data Factory, Big Data, Data Analysis, Azure Databricks, Optimization, PL/SQL Tuning, BI Reporting, Azure Data Lake, Data Modeling, Data Management, Data Build Tool (dbt), ELT, Real-time Data, Data Processing, Architecture, Back-end, Cloud Infrastructure, Data-level Security, Infrastructure, Business, Performance Tuning, Information Technology, Data Analytics, erwin Data Modeler, Analytics, Dashboards, Data Visualization, Data, Machine Learning
Frameworks
Windows PowerShell, Realtime, Spark
Libraries/APIs
PySpark
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