Lovee Kumar

Data Engineer

India1 yr 11 mos experience

Key Highlights

5x Databricks Certified Data Engineer.
Expert in building scalable, cloud-native data solutions.
Proven track record in optimizing ETL workflows.

Stackforce AI infers this person is a Data Engineer specializing in SaaS solutions with a focus on data pipeline optimization.

Contact

Skills

Core Skills

Apache SparkDatabricksEtlData Analytics

Other Skills

Data PipelinesDelta LakeSpark performance tuningSQL query optimizationDatabricks WorkflowsPower QueryDAXPower BIDBSQLAmazon Web Services (AWS)DatabrickssqlLakehouseProductionAzure DatabricksBig Data

About

𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐭𝐨 𝐦𝐲 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐩𝐫𝐨𝐟𝐢𝐥𝐞! As a Data Engineer, I specialize in building scalable, cloud-native data solutions using Databricks and Apache Spark. My passion lies in designing robust data pipelines, automating workflows, and enabling real-time, data-driven decision-making. I've delivered end-to-end solutions for high-volume data systems with Delta Lake, Spark SQL, and the Lakehouse architecture on Databricks (AWS & Azure). 𝐂𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬: - ETL/ELT, Data Warehousing, Incremental Loads - Apache Spark (Structured Streaming, DataFrames), Delta Lake - Databricks on AWS & Azure, Lakehouse Architecture, Unity Catalog - Python (PySpark, Pandas), SQL, Jupyter/Databricks Notebooks - Workflow Orchestration, Power BI, Data Governance & Optimization I am passionate about solving complex data problems, embrace new innovations, and extract meaningful insights from data. 📬 Let’s connect or collaborate: loveekumar226@gmail.com

Experience

1 yr 11 mos

Total Experience

1 yr 11 mos

Average Tenure

Current Experience

Digivate labs

Data Engineer

Sep 2023 – Aug 2025 · 1 yr 11 mos · Gurugram, Haryana, India · Hybrid

Collaborated with cross-functional teams and business stakeholders to gather data requirements and deliver scalable, production-grade data engineering solutions.
Designed and implemented secure, high-performance data pipelines using Apache Spark and Databricks, leveraging the Medallion Architecture to improve job runtimes by 20%.
Provisioned and managed Databricks Workspaces, enabling secure integration with AWS S3 and Azure Data Lake Storage (ADLS).
Optimized ETL workflows through Spark performance tuning, SQL query optimization, and caching techniques, reducing compute costs and improving resource efficiency.
Automated batch and real-time data ingestion pipelines using Delta Lake and Databricks Workflows, enhancing data reliability and timeliness in both staging and production.
Developed and implemented data validation and quality frameworks using PySpark and SQL to ensure accuracy, completeness, and consistency for downstream analytics and reporting.

Apache SparkDatabricksETLData PipelinesDelta Lake

Analytixlabs

Data Analyst

Oct 2022 – Aug 2023 · 10 mos · Noida, Uttar Pradesh, India · On-site

Pwc

Data Analyst

Jul 2022 – Jul 2022 · 0 mo · Hybrid

Responsibilities :
Transform & Clean Data Using Power Query
Create Measures Using DAX Formula
Create Interactive Dashboard Using Power BI Desktop & Publish on Power BI Services & Provide Key Insights

Power QueryDAXPower BIData Analytics