Gopi Kunchala
Gopi Kunchala
Initializing Data Pipeline
Loading modules • Skills • Career • Certifications

Gopi Kunchala

Data Engineer
Developer
BI Developer
Analyst
Data Engineer
Azure Databricks Snowflake Spark SQL

I am an enthusiastic data engineer who builds and supports data pipelines on Azure using ADF, Databricks, SQL, and Python. I enjoy fixing pipeline issues, improving performance, and making data delivery smooth and reliable while continuously learning new methodologies to solve modern data engineering challenges.

ETL
ELT
Python
SQL
Snowflake
Databricks
JSON
CSV
XLSX
DAT
Blob Storage
API
200 OK
500
404
403
DLT
Delta Lake
Data Modelling
Data Optimisation
Performance Tuning
Data Quality
Incidents
Code
Deploy

About

Data Engineer with proven expertise in cloud data solutions

Data Engineer with 2.5+ years of experience designing, developing, and optimizing cloud-based data solutions. Skilled in Azure Data Factory, Databricks (PySpark, SQL), and Snowflake, with expertise in data pipeline automation using Python and PowerShell.

Proven track record in improving performance, streamlining workflows, and collaborating with cross-functional teams to deliver scalable and reliable data platforms.

30+
RCA’s Delivered
28+
Problem Fixes Implemented
20+
Safe Production Deployments
Safe & verified releases
4+
Certifications Completed
More in progress

Skills

Technologies and expertise driving data solutions

Pipeline Workflow

A clean ADF-style incident-to-deploy flow

MonitorData & Pipelines
DetectData/Pipeline Issue
InvestigateRoot Cause
AnalyzeData & Logs
ObserveData Outputs
Monitor(continuous)
DeployPipeline/Code/Fix
ValidateData Quality

Career Journey

Professional experience and academic background

Jun 2023 – Present 1+ years
Tata Consultancy Services
Kolkata, West Bengal

Data Engineer

Day-to-Day Data Operations

  • Utilized Log Analytics, Control-M, and ServiceNow for active SLA history monitoring and issue resolution
  • Optimized SQL queries to improve performance and reduce execution time across data pipelines
  • Developed PySpark and SQL notebooks to implement smooth data transformations for Snowflake and Delta tables loading
  • Led cross-team platform initiatives to implement cloud-based Control-M level automation and job scheduling
  • Implemented code fixes in shell scripts to resolve automation issues and improve reliability
  • Developed large file handling solutions in ADLS Gen2 for efficient renaming and data management
  • Introduced pandas-based workflows to generate automated solutions for regular data tasks
  • Analyzed critical production issues and resolved them within quicker SLA timeframes
  • Handled critical production challenges and performed deep analysis to maintain data load stability
  • Monitored and maintained data pipeline health to ensure consistent performance and reliability

Certifications

Certifications completed

Certifications
Achievements
Azure + Databricks learning path.
4
Completed
+
More planned
Microsoft
Azure
Microsoft Certified: Azure Fundamentals
View
Microsoft Certified: Azure Data Engineer Associate
View
Databricks
Lakehouse
Databricks Certified Data Engineer Associate
View
Databricks Accredited Lakehouse Platform Fundamentals
View
Interests
Open to Data Roles

I'm passionate about data engineering with AI integration applying artificial intelligence to modern data engineering solutions to solve real-world business problems. I want to be part of building intelligent data pipelines that leverage machine learning for automation, predictive analytics, and smart data processing. My focus is on creating scalable data systems that combine traditional engineering with AI capabilities to deliver actionable insights and drive business innovation.

Data Engineering Data Science AI Modern Data Stack

Get in touch

Let's connect for data engineering opportunities

Location
Hyderabad, India
Open to relocation / remote based on role.
Address
Hyderabad, India
Available for onsite meetings
Focus
Data Engineering • Data Science • AI
Pipelines, analytics, automation
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