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Majjiga Jaswanth
Immediate Joiner · Bengaluru

MAJJIGA JASWANTH

Results-driven Data Engineer with 2 years of experience designing scalable ETL/ELT pipelines and cloud-based data platforms on Azure, AWS, and GCP.

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Azure Data Factory Databricks Apache Spark PySpark SQL Optimization Delta Lake Collibra Power BI Data Governance Azure Data Factory Databricks Apache Spark PySpark SQL Optimization Delta Lake Collibra Power BI Data Governance
Majjiga Jaswanth - Data Engineer
40% Faster Queries
Pharma Compliance
Top 1% Performer
Innovator of Month
9 Certifications
About Me

Building Scalable Data
Pipelines at Scale

Results-driven Data Engineer with 2 years of hands-on experience contributing to the design, development, and optimization of scalable ETL/ELT data pipelines and cloud-based data platforms on Azure, AWS, and GCP.

Experienced in Databricks, Apache Spark, PySpark, SQL, Python, and data governance. Certified across Azure (AZ-900, DP-900), AWS (Data Engineer Associate, ML Specialty), GCP (Associate Cloud Engineer), Databricks, and Power BI (PL-300).

Personal Details

Jaswanth Majjiga
+91 9959860037
jaswanthplc@gmail.com
linkedin.com/in/majjiga-jaswanth
github.com/jaswanth-mjy
Bangalore, Karnataka, India
English, Telugu, Hindi
Education
B.Tech CSE
VIT-AP · 86.8%
Company
Tech Mahindra
Client: GSK
Technical Arsenal

Skills & Technologies

Data Pipelines · ETL/ELT · Data Warehousing · Data Modeling · CI/CD · Data Governance · Query Optimization

Cloud Platforms

Azure (ADF, Databricks, ADLS Gen2, Key Vault)95%
AWS (S3, Glue, DMS, Redshift, Spectrum)88%
GCP (BigQuery, GCS)82%

Big Data & Processing

Apache Spark / PySpark92%
Delta Lake / Unity Catalog88%
ETL/ELT / SparkSQL90%

Databases & Governance

SQL (Advanced)95%
Data Modeling88%
Collibra Data Governance82%

Programming & DevOps

PythonShell ScriptingGit/GitHubCI/CDAzure DevOpsSSIS

BI & Analytics

Power BIDAXPower QueryMicrosoft FabricData Visualization

ML & AI

AWS SageMakerFeature EngineeringModel DeploymentAgentic AIEmbeddings
Professional Journey

Work Experience

Data Engineer

Tech Mahindra Limited
Client: GSK — GlaxoSmithKline
Current
Sep 2024 – Present Bengaluru
  • Designed and developed ETL/ELT data pipelines using Azure Data Factory, Databricks, and Apache Spark, reducing manual processing effort and enabling faster analytics delivery.
  • Optimized SQL-based workflows and SparkSQL queries, improving query execution time by 40% through partitioning, indexing, and efficient resource management.
  • Built modular, reusable Python scripts for automation and monitoring, and created SQL transformations for data quality checks and reporting.
  • Partnered with Collibra Data Governance for data cataloging, metadata management, and regulatory compliance across pharma data assets.
Key Technologies
Azure Data FactoryDatabricksApache SparkSparkSQLSQLADLS Gen2Azure Key VaultAzure DevOpsPythonShell ScriptingCollibra

Top Performer — Top 1%

Deccan AI Experts(Part-time)
Award
2025

Recognized as Top 1% performer for consistency, quality work, and active engagement in a structured, supportive environment.

Innovator of the Month

Tech Mahindra
Award
2024

Recognized for innovative contributions and impact at Tech Mahindra.

Migratory Award

Tech Mahindra — GCP ACE Certification
Award
2024

Awarded for earning the Google Cloud Associate Cloud Engineer Certification.

Data Engineering Showcase

Featured Projects

Real-world data engineering projects demonstrating pipeline design, query optimization, cloud automation, and AI-driven solutions.

Resume Project

Patient Health Data
Analysis

Normalized relational database schema for patient health records with 40% faster query execution.

Normalized Schema
Optimized Queries
Indexing Strategy
Stored Procedures
SQL · Advanced SQL · Data Modeling
  • 1

    Designed a normalized relational database schema to store patient health records and clinical attributes for efficient querying.

  • 2

    Built optimized SQL queries, stored procedures, and views with indexing and aggregation, reducing query execution time by 40%.

SQLAdvanced SQLData ModelingStored Procedures⚡ 40% Faster
Python · SQL · Azure · Databricks
  • 1

    Built an automated ETL pipeline using Python and SQL, deployed on Azure Databricks and orchestrated via Azure Data Factory.

  • 2

    Implemented data validation and logging mechanisms to ensure data quality and reliability.

PythonSQLAzure DatabricksAzure Data FactoryFully Automated
Cloud Native

Cloud-Based Data
Pipeline Automation

End-to-end automated ETL pipeline on Azure with distributed Spark processing.

Extract
Transform
Load
Validate
JobPulse
Full StackLive

JobPulse

Multi-Platform Job Application Tracker

Connects to Gmail and auto-detects job application emails from LinkedIn, Indeed, Naukri, Glassdoor, and 20+ platforms with real-time status updates using NLP.

PythonFull StackNLPGmail API
Visit jobpulse.shramkavach.com
AI Talent Agent
Agentic AI Open Source

AI-Powered Talent Scouting & Engagement Agent

Semantic search + deterministic scoring for recruiter workflows

Parses free-form job descriptions, searches candidate pools using embeddings and semantic similarity, scores candidates, simulates recruiter outreach, and exports shortlists to CSV.

PythonAgentic AIEmbeddingsSemantic SearchCSV Export
View on GitHubgit clone
Validated Expertise

9 Key Certifications

View All Badges on Credly

AWS Data Engineer Associate

Amazon Web Services

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Design, build, and manage data pipelines on AWS using Glue, S3, Redshift, and DMS.

AWS ML Specialty

Amazon Web Services

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Design, build, deploy, and optimize ML solutions on AWS.

GCP Associate Cloud Engineer

Google Cloud

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Cloud infrastructure, Kubernetes, Cloud Run, networking, and Terraform on GCP.

🏆 Migratory Award

AWS Cloud Practitioner

Amazon Web Services

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Foundational cloud literacy — AWS services, security, billing, and core concepts.

Databricks Data Engineer Associate

Databricks

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ETL pipelines, Delta Lake, Spark, and Lakehouse architecture.

Power BI Data Analyst (PL-300)

Microsoft

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Interactive dashboards, DAX, Power Query, data modeling, and business analytics.

Azure Data Fundamentals (DP-900)

Microsoft

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Azure data services, relational databases, analytics, and cloud storage.

Azure Fundamentals (AZ-900)

Microsoft

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Core Azure services, security, governance, pricing, and cloud concepts.

SQL (Advanced)

HackerRank Certified

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Advanced SQL, joins, CTEs, window functions, optimization, and complex queries.

Academic Background

Education

B.Tech in CSE

VIT-AP University

Sep 2020 – Apr 2024

Computer Science and Engineering with specialization in Data Analytics

Score:86.8 / 100

Intermediate (12th)

Narayana Jr. College

Jun 2018 – Mar 2020 · Telangana

State Board of Intermediate Education

Score:91.6%
Let's Connect

Get in Touch

Immediate joiner — open to Data Engineering, ML, and Cloud AI roles.

Phone
+91 9959860037
Email
jaswanthplc@gmail.com
LinkedIn
linkedin.com/in/majjiga-jaswanth
GitHub
github.com/jaswanth-mjy
Location
Bengaluru, Karnataka, India