AboutSkills ExperienceProjects Contact
Boston, MA · Available for opportunities

Murali
Krishna
Mididoddi

Data & AI Engineer — building pipelines that think,
lakehouses that scale, and ML models that matter.

3+
Years building
11+
Projects shipped
3.7
MS GPA
4+
Certifications
Scroll to explore

I turn messy data into clean stories

I'm a Data & AI Engineer with 3+ years of hands-on experience building the kind of data infrastructure that actually gets used — end-to-end pipelines, scalable lakehouses, and ML systems that go to production.

My work spans Azure, AWS, Databricks, Spark, Snowflake, and a healthy dose of Python. I've worked across healthcare, financial services, and enterprise analytics — and I care deeply about data that's reliable, observable, and useful.

Data Engineer AI / ML Engineer Analytics Engineer Cloud Data Engineer ETL Developer
Currently at
Delaware North — TD Garden
CRM Analyst · Boston, MA · May 2026–Present
Education
MS Big Data Analytics & IT
Univ. of Central Missouri · GPA 3.70 · Dec 2024
Core stack
Azure · AWS · Spark · Databricks · Snowflake
+ Python, SQL, dbt, Airflow, Power BI
Location
📍 Boston, MA — Eastern Time
Open to remote & on-site across the US
Attended
ICML 2024 — Machine Learning Conference
Deep learning, RL, TensorFlow & PyTorch workshops
02 — Expertise

What I actually know

02
🤖
AI & Machine Learning
Scikit-LearnTensorFlow PyTorchSpark MLlib NLP / TransformersGenAI / LLMs Collaborative FilteringXGBoost
☁️
Cloud Platforms
Azure (ADF, ADLS, Synapse) AWS (S3, Glue, Athena) RedshiftAzure DevOps CI/CD
Data Engineering
Apache SparkPySpark DatabricksDelta Lake Snowflakedbt HadoopHive
💻
Languages
PythonSQL PySparkPL/SQL JavaBash
🔧
Orchestration & DevOps
Apache AirflowJenkins DockerKubernetes GitHub
📊
BI & Visualization
Power BITableau AlteryxJIRA Confluence
03 — Journey

Where I've been

Three years across healthcare, financial services, and enterprise — always building things that scale.

CRM Analyst
May 2026 – Present
Delaware North — TD Garden
Boston, MA
  • Built CRM data pipelines integrating customer and event data for revenue and engagement analytics.
  • Developed interactive Power BI dashboards enabling real-time reporting for business stakeholders.
  • Automated data workflows improving operational efficiency across analytics teams.
  • Designed data models supporting customer segmentation and campaign performance metrics.
PythonSQLAzurePower BIETL
Sr. Data & Analytics Engineer
Aug 2025 – Mar 2026
Rollins Inc
Marietta, GA
  • Designed enterprise-scale Azure data architectures for marketing analytics platforms.
  • Developed scalable PySpark pipelines on Databricks processing large campaign datasets.
  • Implemented ADLS Gen2 lakehouse with Delta Lake and Parquet for analytics performance.
  • Applied 3NF and dimensional modeling to build analytics-ready datasets for Power BI.
AzureDatabricksPySparkSnowflakeADFPower BI
Data Engineer
Feb 2025 – Aug 2025
Federal Home Loan Bank
Atlanta, GA
  • Developed and optimized data pipelines for financial data processing and regulatory reporting.
  • Built data models supporting compliance, risk analytics, and business intelligence.
  • Automated ingestion and transformation workflows reducing manual processing overhead.
PythonSQLData ModelingETLAgile
Data Engineer
Mar 2021 – Dec 2022
Aetna Insurance
Hartford, CT
  • Built AWS-based healthcare data pipelines for claims analytics and reporting.
  • Developed ETL workflows using AWS Glue for scalable data ingestion and transformation.
  • Applied HIPAA compliance and data security standards throughout all pipelines.
  • Automated CI/CD using Jenkins and GitHub for reliable pipeline deployments.
AWS GlueS3AthenaPythonHIPAAJenkins
04 — Work

Things I've built

04
🏥
#01
Patient Re-admission Predictive Analytics

ML project predicting patient readmissions — achieved 20% reduction through data-driven preventive measures using clinical history and treatment records.

PythonMLHealthcare
View →
📈
#02
A/B Testing for Landing Page Optimization

15% lift in conversion rates and 10% drop in bounce rates through rigorous statistical hypothesis testing and user behavior analysis.

PythonStatistics
View →
🐦
#03
Twitter Sentiment Analysis at Scale

Processed 500K+ tweets with 98% efficiency using NLP transformers. Reduced analysis time by 40% enabling real-time social insights.

NLPTransformers
View →
🤖
#04
Collaborative Filtering Recommendation Engine

Spark MLlib ALS engine processing 2M+ interactions. Top-10 recommendations for 2M+ users with 0.87 RMSE on test set.

PySparkMLlibALS
View →
💳
#05
Credit Card Fraud Detection

99.3% accuracy on 284K transactions using Decision Tree + SMOTE. Reduced fraud detection latency by 30% for real-time screening.

PythonDecision TreeSMOTE
View →
🏠
#06
House Pricing — KNN & XGBoost

15% accuracy improvement analyzing 50K+ rows. Pipeline handles 1M+ rows with 30% reduced runtime through advanced preprocessing.

KNNXGBoost
View →
🍷
#07
Wine Quality Clustering

Classified 1,000+ wine samples into quality clusters using K-Means and DBSCAN with 15% higher segmentation accuracy.

K-MeansDBSCAN
View →
🗄️
#08
SQL Data Cleaning

Reduced data duplication by 30% through structured SQL cleaning, standardizing raw datasets for enhanced downstream reliability.

SQLData Quality
View →
📊
#09
Tableau Sales Analysis

Interactive dashboards identifying sales trends — optimized product placement strategies resulting in 10% revenue increase.

TableauBI
View →
🎬
#10
Movie Recommendation System

95% accuracy in recommendations using collaborative filtering. 70% improved search speed with optimized database queries.

PythonScikit-Learn
View →
🎓
#11
Student Management System

Full-stack Spring Boot app — 25% improved data accuracy, 40% reduced admin processing time, 30% better user satisfaction.

JavaSpring Boot
View →
05 — Credentials

Certified & curious

🏆
AWS Certified Machine Learning: Specialty
Feb 2025 – Feb 2028
☁️
AWS Certified Cloud Practitioner
Sep 2024 – Sep 2027
📊
Microsoft Power BI Analyst Associate
Sep 2024 – Sep 2025
🗄️
HackerRank SQL Certificate
Jul 2024
📐
Google: Foundations — Data, Data, Everywhere
May 2024
🌐
VMware IT Academy Network Virtualization
Jan 2021
06 — Education

The foundation

MS — Big Data Analytics and Information Technology
University of Central Missouri · Warrensburg, United States
GPA: 3.70 / 4.00
Graduated December 2024
B.Tech — Electronics and Communications Engineering
JNTUK · Kakinada, India
Graduated May 2022
07 — Say hello

Let's build something great

Looking for a Data or AI Engineer who actually ships? I'm open to full-time roles, contract work, and interesting collaborations.

Open to opportunities
Send a message
I'll get back to you within 24 hours.