Krishnanand Gupta

Data Engineer

Pune, Maharashtra, India5 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Microsoft certified Data Engineer and Analyst
Proven track record in optimizing data processes
Experience across multiple domains including Finance and FMCG

Stackforce AI infers this person is a Data Engineering specialist with expertise in Big Data solutions across various industries.

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Skills

Core Skills

Azure Data EngineerBig Data Engineering

Other Skills

AWS Data EngineerAgileAzure Data FactoryAzure Data LakeAzure Data Lake Gen2Azure DatabricksAzure DatawarehouseAzure DevOps ToolsAzure Logic AppBig Data EngineerBusiness Intelligence (BI)C++Data AnalystData ScienceHBase

About

Big Data Engineer & Data Analyst with 4.6 years of experience. Solved data mysteries for different domains like Refinery, Finance & FMCG. Helped the client to turn data into information and information into insight. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: ★ Microsoft certified Data Engineer ★ Microsoft certified Data Analyst 𝗦𝗸𝗶𝗹𝗹𝘀: ★ BigData frameworks (Hadoop, Spark, Hive, Sqoop, Kafka) ★ Databases (MySQL, HBase, SQL Datawarehouse) ★ Azure Big Data Services (VM, Data Lake, Event Hub, Azure Data Factory, Azure Databricks, Azure Synapse Analytics) ★ Dashboarding Tools (Power BI, Tableau) ★ Programming languages (Python, SQL, Pyspark) "If you torture data long enough, it will confess to anything"

Experience

Tiger analytics

Data Engineer

Aug 2022 – Present · 3 yrs 7 mos · India

Key Competencies:
➤ Designing ETL Pipelines
➤ Strategy Planning and Implementation
➤ Design Thinking
➤ Optimize the Job Execution Time
Technologies:
➤ Microsoft Azure, Spark, Python, Azure Logic App, Azure Data Lake Gen2, Azure Databricks, Azure Data Factory, Azure DevOps Tools, Azure Datawarehouse, Agile, Pyspark, Power BI
Key Achievements:
➤ Minimized the execution time of APS's from Sec to Ms
➤ Proactively proposing & implementing Job Failure Message User Story which approximately saved 70% of debugging time to analyze the failure.
➤ Worked on the optimization of Spark-based Data Integration framework performance using best practices, which resulted in 40% performance improvement.
Skills: Python (Programming Language), SQL Azure SQL DB, Azure Data Factory, Azure Databricks, Azure Logic app

Microsoft AzureSparkPythonAzure Logic AppAzure Data Lake Gen2Azure Databricks+8

Wipro

Azure Data Engineer

Apr 2021 – Jul 2022 · 1 yr 3 mos · Pune, Maharashtra, India · Hybrid

Developed and managed ETL (Extract, Transform, Load) processes for data integration into databases and data warehouses, overseeing data pipelines for multiple projects.
Improved system performance by 10% through the optimization of data storage solutions.
Contributed to cross-functional teams, leading to the successful completion of three major data projects.
Conducted routine data maintenance to ensure consistent and reliable data availability.
Trained new team members on data engineering best practices, increasing onboarding efficiency by 30%.