Harikesh Yadav, Developer in New Delhi, Delhi, India
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Harikesh Yadav

Verified Expert  in Engineering

Data Engineer and Back-end Developer

Location
New Delhi, Delhi, India
Toptal Member Since
June 18, 2020

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

Database Consultancy LLP
Database Architecture, Azure Data Factory, Azure Functions, Azure Event Hubs...
Lifescan Labs of Illinois, LLC
Data, ETL, Data Engineering, SQL, NoSQL, Azure Databricks, Azure...
Ruth's Hospitality Group Inc - Main
Microsoft Power BI, Azure, Azure Synapse, BI Reporting

Experience

Availability

Full-time

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

2011 - PRESENT
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.
Technologies: Database Architecture, Azure Data Factory, Azure Functions, Azure Event Hubs, Azure SQL Databases, Database Administration (DBA), Business Intelligence (BI), Microsoft Power BI, SQL Server Integration Services (SSIS), Microsoft SQL Server, Python, Windows PowerShell, Big Data, Data Warehouse Design, Erwin, Databricks, Realtime, Amazon Web Services (AWS), Analytics, Dashboards, Data Analysis, Data Visualization, PySpark, SQL, NoSQL, MySQL, Microsoft Access, Optimization, PL/SQL Tuning, ETL, Data Lakes, Azure Databricks, Azure SQL, Spark, Azure Data Lake, Azure Cosmos DB, Data Modeling, Data Management, Data Build Tool (dbt), Azure PaaS, ELT, Real-time Data, Snowflake, Data Processing, Kubernetes, Architecture, Back-end, Cloud Infrastructure, Master Data Management (MDM), Data Pipelines, Infrastructure

Data Engineer

2023 - 2023
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.
Technologies: Data, ETL, Data Engineering, SQL, NoSQL, Azure Databricks, Azure, Amazon Web Services (AWS), Python, Data Processing

Power BI Developer

2022 - 2022
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.
Technologies: Microsoft Power BI, Azure, Azure Synapse, BI Reporting

SQL Optimization Developer

2021 - 2022
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.
Technologies: SQL, Microsoft SQL Server, SQL Stored Procedures, Python, Windows PowerShell, Amazon Web Services (AWS), Performance Tuning, SQL Performance, Database Administration (DBA), Optimization, PL/SQL Tuning, Accounting

Database Administrator

2009 - 2011
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.
Technologies: SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server 2005, Windows PowerShell, SQL Server Reporting Services (SSRS), Database Administration (DBA), Database Design, Data Engineering, Accounting

Database Administrator

2007 - 2009
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.
Technologies: SQL Server Integration Services (SSIS), SQL Server 2005, Database Administration (DBA), Database Development

Software Engineer

2005 - 2007
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.
Technologies: SQL Server 2000, C++, Database Development, Relational Databases, MySQL, Microsoft Access

Real-time Analytics and Data Warehouse

Design and development of a real-time analytics system and data warehouse platform for statistical process control (SPC) software that is the #1 choice of the world's leading companies, delivering manufacturing analytics to the right people at the right time.

Technologies: Azure Event Hub, Azure Data Warehouse, SSIS, PowerBI, Azure Functions

Energy Data Warehouse

Development and design of a data warehouse and reporting application to show historical reports to clients. It includes importing data from multiple sources using SSIS and Informatica, and creating a SSAS tabular model for data analysis and reporting.

Technologies: SQL Server 2012, SSIS, Informatica, SSAS, SSRS, SQL Sentry

Online Gaming Platform

Development and design of a gaming platform. It is a 24/7 online system allowing the user to play online casino games. The database design involves the design of how the transaction will be maintained in the system and how data from multiple casinos will save in the data warehouse for MIS and reporting purposes.

Technologies: SQL server 2008 R2, SSIS, Hadoop, SQL Sentry, Red Gate SQL Toolbelt, and LiteSpeed.
2001 - 2005

Bachelor of Engineering Degree in Information Technology

Dronacharya College of Engineering - Gurgaon, India

MARCH 2023 - MARCH 2025

Databricks Certified Data Engineer Associate

Databricks

JANUARY 2023 - JANUARY 2025

SnowPro Core Certification

Snowflake

DECEMBER 2019 - DECEMBER 2023

Microsoft Azure Data Engineer Associate

Microsoft

JANUARY 2016 - PRESENT

MongoDB SI Architect Certification

MongoDB University

APRIL 2012 - PRESENT

Microsoft Certified Professional

Microsoft

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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