Tejaswini Chowdari D
Data Engineer • d*************@gmail.com • +19******352
Professional Summary
Results-driven Data Engineer with 4+ years of experience building scalable ETL pipelines, distributed data systems, and cloud-based analytics infrastructure. Proficient in Python, SQL, and big data frameworks including Hadoop and Kafka. Proven experience integrating Generative AI and LLM-based solutions into production data workflows. Brings hands-on expertise across the full data lifecycle, including ingestion, transformation, deployment, monitoring, and data quality governance. Skilled at translating complex business requirements into reliable, well-documented pipelines that scale with growing data volumes, and experienced collaborating with cross-functional teams to deliver accurate, timely insights that support data-driven decisions.
Technical Skills
Programming Languages: Python,Java,C++
Web Technologies: REST APIs
Frameworks and Libraries: Pandas,NumPy,FastAPI,Flask,Django
Databases: SQL,PostgreSQL,MongoDB,Redis
Cloud and DevOps: AWS S3,AWS Lambda,AWS Glue,AWS EC2,Azure,Docker,Kubernetes,Jenkins,CI,CD
Testing: Data Validation Frameworks,Structured Logging,Monitoring,Performance Tuning
Data and Analytics: ETL Pipelines,Data Modeling,Batch Processing,Streaming,Data Validation,Transformation,Clustering,Anomaly Detection,Semantic Search,Vector Retrieval,Microservices
Generative AI & Vector Retrieval: OpenAI API,Azure OpenAI,Retrieval-Augmented Generation RAG,Embeddings,FAISS,Pinecone
Streaming and Messaging: Apache Kafka,AWS SQS,AWS SNS,Event-Driven Architecture
Work Experience
MBFS
Data Engineer
Aug 2025 – Present
Data engineering for a financial services organization supporting automotive financing datasets and document-heavy workflows.
- Engineered end-to-end ETL pipelines for large-scale financial datasets using Python, SQL, and AWS (S3, Glue, Lambda), processing structured and unstructured data across distributed environments with reliable ingestion, transformation, and loading into downstream analytics systems.
- Automated large-scale data cleaning, transformation, and validation workflows across distributed datasets using Python, cutting manual document review time by 40% through OpenAI and Azure OpenAI API integration.
- Designed and maintained distributed data workflows on Linux/Unix-based infrastructure, applying Hadoop-compatible batch processing patterns for scalable ingestion and transformation of high-volume datasets.
- Architected RAG pipeline components, including document chunking, embedding generation, and vector indexing, using FAISS and Pinecone, enabling efficient retrieval across large unstructured data corpora and improving search relevance for AI-driven applications.
- Built and deployed FastAPI microservices for data processing and LLM inference, containerized with Docker and orchestrated via Kubernetes, enabling scalable, fault-tolerant production deployments monitored for data quality and consistency.
- Implemented event-driven architectures using Kafka, AWS SQS, and SNS, established RBAC access controls, audit trails, and CI/CD pipelines with model versioning for secure, traceable production data systems.
Tata Elxsi
Data Engineer – Automotive Systems
Jan 2022 – Aug 2023
Built telemetry and CAN bus data pipelines for automotive engineering teams to enable analytics and vehicle behavior monitoring.
- Developed high-throughput ETL workflows for automotive telemetry and CAN bus signals using Python and C++ on Linux/Unix environments, enabling structured ingestion, parsing, and transformation of high-volume distributed vehicle data streams.
- Queried and managed large relational datasets using SQL across PostgreSQL and MySQL databases, supporting analytics pipelines and engineering reporting with optimized, low-latency data retrieval.
- Applied clustering-based and threshold-based ML techniques on large telemetry datasets to build anomaly detection models, improving detection accuracy of abnormal vehicle behavior by 18% over baseline.
- Established automated data validation frameworks and testing suites enforcing consistency and accuracy across streaming and batch datasets in distributed systems, reducing downstream data quality incidents.
- Optimized large-scale data processing scripts in distributed Linux/Unix environments, reducing execution overhead and accelerating analytics turnaround for engineering and product teams.
- Collaborated with data analysts and senior engineers to monitor pipeline workflows, troubleshoot failures, and ensure end-to-end data integrity from ingestion through delivery.
Cine Carnival
Full Stack Developer
Feb 2020 – Dec 2021
Developed a high-performance consumer movie ticketing and payments platform supporting high-traffic digital transactions and user analytics.
- Designed and scaled a high-performance platform using Django, React.js, and REST APIs, handling 500K+ daily transactions, implemented structured data pipelines for user behavior tracking and event logging to support analytics teams.
- Developed complex SQL queries and optimized PostgreSQL performance through advanced query tuning, strategic indexing, and schema redesign, reducing data retrieval times by 35% under peak load.
- Built Python scripts for data transformation, reporting automation, and ETL processes supporting product analytics and business intelligence workflows.
- Integrated Stripe and PayPal payment gateways with full transactional integrity controls, fraud prevention logic, and PCI-compliant secure data handling across distributed services.
- Collaborated with product managers and QA engineers in an Agile environment, participating in sprint planning and code reviews to consistently ship features on schedule.
Education
Wright State University
Master of Science in Computer Science • Aug 2023 – May 2025
Certifications
AWS Solutions Architect Associate
AWS Certified Data Engineer
Aviatrix Multi-Cloud Networking Associate
Oracle Cloud Infrastructure Developer Associate
PCAP Python Programming
Wipro TalentNext Java Full Stack Developer
Powered by Drivetube · Create your own profile at drivetube.ai
Explore Drivetube
- Drivetube Profile — your free digital resume — at drivetube.ai/in/your-name: one true standard resume with a Hiring Snapshot (visa status, expected salary, notice period, work preference, relocation), an ATS-ready PDF download and a single shareable link. Free forever; interview requests come from verified employers and your contact details stay masked until you accept. Documentation.
- Free Job Board — verified openings crawled ATS-by-ATS from 100,000+ real company career pages across 35 ATS platforms. Shows the true posting date from the source ATS — not when a listing was indexed — and deletes every general listing 3 days after it was actually posted. No ghost jobs, no ad-sponsored listings, no staffing reposts, no account needed. Documentation.
- Job Hunt Program — managed job hunting, a one-time purchase from $199.99. JobScout matches verified roles to your real experience band, Blend AI writes a uniquely tailored resume and cover letter for every application, and the Autofill extension fills the form — or Let Us Apply submits it for you. Documentation.
- Resume Writing Services — human-written, ATS-optimised resumes by senior career writers, from ₹499.99 / $25.99. Available in every country, written to the destination country's own standard — a US resume, UK CV, German Lebenslauf and Indian resume are genuinely different documents. A paid service, separate from the free Drivetube Profile. Documentation.
- Community Membership — from $4.99/month (₹1,999/year in India). Unlocks the gated job-board filters — visa sponsorship, security clearance, workplace and application time — plus Job-Scout AI matching, Resume Report AI, Interview AI prep sheets, Recruiter Outreach AI sent from your own Gmail, Apply or Skip triage, a daily market feed and a $10,000+ library including 23 ATS-validated resume templates. Documentation.
- Drivetube Hire — for employers — hiring with no job postings and no applications. Paste your real job description and AI matches it against candidates' true standard resumes, returning ranked candidates with a match %, matched and missing skills and written reasoning. Free tier included; employers pay, candidates never do. Documentation.
Full product documentation — every product explained, with feature-by-feature comparisons against the job boards, AI apply tools, resume services and hiring platforms people actually use.
The job board covers the United States, India, United Kingdom, Canada, Europe and Australia, and Resume Writing Services are available in every country.