Cloud and AI/ML, taught by someone who runs it in production.
I'm Pushpjeet Cholkar. For 17 years I've built, tuned and rescued Oracle, Linux and AWS systems for Deutsche Bank, IBM, Wipro, Accenture, Capgemini, Cognizant and Oracle University — across four continents. Now I train the engineers who run those systems, and consult on the AI layer going on top of them.
Open for consulting · Remote worldwide
SQL> SELECT metric, value FROM pitc.track_record; METRIC VALUE -------------------------- ------------------------------ Years in industry 17 Enterprise clients 40+ Countries delivered in 12+ Oracle releases run 8i → 26ai Cloud AWS SAA · Oracle Cloud Infra Engineers trained 3,000+ Training feedback 100% positive Current focus AI/ML on the data layer 8 rows selected. SQL> -- next: your team, your stack SQL> _
Three ways to work with me
The same engineering experience, delivered at three different sizes — a company, a team, or one person deciding to level up.
Consulting
For companiesSomeone senior who has already fixed this before. Performance tuning, migrations, cloud architecture, and getting AI/ML working against real production data.
- Oracle & SQL performance tuning
- Database migration and upgrade (8i → 26ai)
- AWS / OCI architecture review
- Data warehouse & ETL design
- RAG and LLM integration on enterprise data
Corporate training
For teamsCustom cohorts built around your stack, not a generic syllabus. Delivered on-site or live-virtual, the same way I've delivered for Oracle University and AWS reStart.
- Curriculum written to your systems
- Hands-on labs on your cloud accounts
- On-site, live-virtual, or blended
- Assessment and post-training support
- English delivery, global time zones
Open batches
For individualsSmall public cohorts for students and working professionals. Some paid, some free. Live sessions, real labs, recordings, and a certificate you actually earned.
- Weekend and evening batches
- Live, not pre-recorded
- Lab environment provided
- Recordings for every session
- Free labs and material for everyone
Three thousand engineers, one room at a time
Corporate floors in Pune and Bangalore, university labs, bootcamp cohorts in Germany and the UK, and Live Virtual Classes for Oracle University reaching people I never met in person. Same approach every time: short explanation, then hands on the keyboard.
Where the work has been
Consulting and training engagements delivered directly or through partners, from Pune and Bangalore to Cape Verde, Muscat, Singapore, Suva and Berlin.
Labs, projects and material — no charge
Teaching has always been the part I enjoy most, so a lot of it is simply open. Build the lab, break it, ask me questions.
Oracle 23ai on Docker
LabStand up a multitenant container database on your laptop, create PDBs, and practise DBA work without touching a licence server.
AWS VPC from scratch
LabBuild a three-tier VPC by hand — subnets, route tables, NAT, security groups — then tear it down. The lab that makes the SAA exam click.
Build a RAG tutor
ProjectA retrieval-augmented tutor over your own PDFs, end to end: chunking, embeddings, vector store, evaluation. My live research area.
Tell me what you're trying to do.
A slow database, a cloud migration nobody wants to own, a team that needs to be trained properly, or a batch you'd like to join. WhatsApp is fastest — I usually reply the same day.
WhatsApp +91 70492 35525 Email pc@pitcsolutions.com pushpjeet@gmail.com LinkedIn /in/pushpjeet-cholkar Instagram @coachpushpjeet Office 8/5 Manas Mayfair, 4th Floor South Tukoganj, Indore 452001 Entities PITC Solutions LLC (USA) Pushpjeet IT Consultant (India) Get the Most, from the Best!!
Live batches, not recorded courses
Every batch is taught live by me. You get the labs, the recordings, and the ability to interrupt and ask why. Batch sizes stay small enough that I know who is stuck.
AWS S3 in Detail — From Zero to Pro
Starts 4 OctOne service, all the way down. Buckets and objects, storage classes and lifecycle rules, versioning, encryption, bucket policies versus IAM, replication, static hosting, event notifications, and the cost traps that surprise people on their first bill.
- Starts
- Sunday 4 October 2026
- Level
- Zero → Pro
- Seats
- 30
- Mode
- Live virtual
- Fee
- On request
Oracle SQL & PL/SQL
RegisteringFrom SELECT to packages, cursors, collections and exception design. The foundation everything else in the Oracle world stands on.
- Level
- Beginner → Intermediate
- Length
- 40 hours · 6 weekends
- Mode
- Live virtual
- Release
- 19c · 23ai · 26ai
- Fee
- On request
Oracle DBA 23ai
RegisteringMultitenant architecture, backup and recovery with RMAN, performance tuning, high availability and replication. Taught the way it's actually run.
- Level
- Intermediate → Advanced
- Length
- 50 hours · 8 weekends
- Mode
- Live virtual
- Lab
- Container DB provided
- Fee
- On request
AWS Solutions Architect
RegisteringThe SAA-C03 blueprint taught through labs, not slides. VPC, IAM, S3, EC2, RDS, ELB, CloudFront, well-architected trade-offs. Built from three AWS reStart cohorts.
- Level
- Beginner → Associate
- Length
- 45 hours · 6 weeks
- Mode
- Live virtual
- Outcome
- SAA-C03 ready
- Fee
- On request
Linux Fundamentals
FreeThe Linux a DBA or cloud engineer actually uses: filesystem, permissions, processes, networking, shell scripting, log hunting. Run free, a few times a year.
- Level
- Beginner
- Length
- 15 hours · 5 modules
- Mode
- Live virtual
- Fee
- Free
SQL Performance Tuning
Dates soonReading execution plans, indexing strategy, statistics, hints, and the twelve query shapes that cause most production slowness. Bring your own slow query.
- Level
- Advanced
- Length
- 20 hours · masterclass
- Mode
- Live virtual
- Fee
- On request
RAG & LLM Applications
Dates soonBuild a working retrieval-augmented application over real documents: chunking, embeddings, vector stores, prompt design, evaluation, and what breaks in production.
- Level
- Intermediate
- Length
- 30 hours · 5 weeks
- Mode
- Live virtual
- Needs
- Python basics
- Fee
- On request
Python for Data & ML
Dates soonPython, pandas, scikit-learn and the modelling workflow, aimed at people who already understand data but haven't written the code side yet.
- Level
- Beginner → Intermediate
- Length
- 35 hours · 6 weeks
- Mode
- Live virtual
- Fee
- On request
Snowflake & Power BI
Dates soonModern warehousing end to end — loading, modelling, warehouse sizing and cost, then the semantic layer and reporting on top in Power BI.
- Level
- Intermediate
- Length
- 25 hours · 4 weeks
- Mode
- Live virtual
- Fee
- On request
Terraform on AWS
Dates soonInfrastructure as code from first principles — providers, state, modules, plan and apply discipline. The curriculum I deliver for neue fische × SPICED.
- Level
- Intermediate
- Length
- 20 hours · 4 weeks
- Mode
- Live virtual
- Fee
- On request
What a session actually looks like
University labs, corporate floors, and my own training room in Indore. Small explanation, then hands on the keyboard — which is why these photographs are mostly of people working rather than of me talking.
Corporate training
Most of my seventeen years has been spent training engineering teams inside large companies. The syllabus gets written after I understand your stack, not before.
How a corporate engagement runs
- Scoping call — your stack, your team's current level, the business reason for the training.
- Custom curriculum — written to your systems, reviewed by you before delivery.
- Delivery — on-site, live-virtual, or blended, in your time zone.
- Hands-on labs — on your cloud accounts or an environment I provide.
- Assessment — pre and post measurement so you can see the movement.
- Follow-up — a support window after delivery for real questions from real work.
Formats I deliver in
- On-site
- Classroom at your office, India and international
- LVC
- Live Virtual Class — the format I ran for Oracle University Singapore, worldwide
- Bootcamp
- Multi-week intensive, the AWS reStart model (3 months, 14+ cohorts run)
- Short burst
- 1–3 day masterclass on a single topic
- Academic
- Semester modules for universities — currently Parul and ITM
- Video
- Recorded modules for an internal learning library
Free material for the world
Labs you can run tonight, projects worth putting on a CV, and reference material I wish someone had handed me in 2009. No payment, no course upsell.
Oracle 23ai multitenant sandbox
LabDocker Compose to a running CDB, then create, clone, unplug and plug PDBs. Includes the teardown script so you can start clean.
AWS VPC from scratch
LabA three-tier VPC built by hand in the console: public and private subnets, route tables, internet and NAT gateways, security groups, bastion access.
Terraform: build and destroy
LabThe same VPC, this time as code. Providers, variables, modules, remote state, and the discipline of reading a plan before you apply it.
Linux for DBAs: 40 drills
LabForty small command-line exercises with answers — permissions, processes, disk, logs, networking, and the shell one-liners you'll use weekly.
Build a RAG tutor
ProjectA retrieval-augmented tutoring assistant over your own PDFs: chunking strategy, embeddings, vector store, retrieval evaluation, and honest failure analysis.
Superset on Parquet
ProjectContainerised analytics stack: a historical Parquet dataset loaded and visualised in Apache Superset via Docker. A genuine portfolio piece.
Twelve slow queries
LabTwelve deliberately bad queries with their execution plans. Fix each one, then compare with my fix and the reasoning behind it.
ETL pipeline starter
ProjectExtract from a source database, transform with Python, load to a warehouse — with logging, idempotency and restartability built in from the start.
Database health-check pack
ScriptsThe SQL scripts I actually run on day one of a tuning engagement: tablespace pressure, top waits, missing indexes, stale statistics, session activity.
Downloads
Cheat sheets and handbooks, free. Ask for any of them and I'll send the file — that way I also know what people actually need more of.
The blog
Longer written walkthroughs across data engineering, AI, machine learning, databases and Linux — published on the main site.
Data engineering
Pipelines, ETL design, warehousing, and the operational side nobody writes about.
Databases
Oracle, PostgreSQL, MongoDB, Snowflake — modelling, tuning and migration.
Cloud
AWS and Oracle Cloud architecture, Terraform, cost, and well-architected trade-offs.
AI & machine learning
LLMs, agents, RAG systems, and getting models to run against enterprise data.
Linux
Commands, scripting and the administration a database or cloud engineer needs.
Career
Certification paths, interview preparation, and moving from support into engineering.
Senior help, without the headcount
Companies usually call me for one of four reasons: something is slow, something has to move, something needs designing properly, or someone wants AI working against data they already have.
Something is slow
PerformanceDatabase and SQL performance tuning on Oracle, PostgreSQL, MS SQL and Snowflake. Execution plans, indexing, statistics, contention, storage. I've done this for a national ERP in Cape Verde and for banking systems in Pune.
- Health check and prioritised findings, usually within a week
- Query-level tuning with before/after measurement
- Instance and storage-level configuration review
- Knowledge transfer so the fix doesn't leave with me
Something has to move
MigrationVersion upgrades across Oracle 8i through 26ai, cross-platform migrations (Oracle ↔ MySQL, PostgreSQL), and lift-and-shift or re-architecture onto AWS and Oracle Cloud Infrastructure.
- Assessment, risk register and rollback plan before anything moves
- Multitenant conversion and PDB strategy
- Cutover rehearsal and go-live support
- Post-migration tuning, which is where most projects go wrong
Something needs designing
ArchitectureData warehouse and ETL design, high availability and replication, backup and recovery strategy, and AWS architecture reviewed against the well-architected framework.
- Warehouse and dimensional modelling
- ETL pipeline design with restartability built in
- HA, replication, RMAN backup and tested recovery
- VPC, IAM and cost architecture on AWS / OCI
AI on your own data
AI / MLThe layer everyone is being asked to add this year. Retrieval-augmented generation over internal documents, ML models against operational data, and a realistic assessment of what will and won't work.
- RAG systems over enterprise documents
- Machine learning on operational and warehouse data
- Evaluation — how you'll know it's actually working
- An honest opinion on whether AI is the right answer at all
Engagement models
Contracting
Two entities, so clients can contract on whichever side suits them:
- USA
- PITC Solutions LLC
- India
- Pushpjeet IT Consultant, Indore
- Remote
- Worldwide, any time zone
- On-site
- India and international, by arrangement
Start with a conversation
Tell me the symptom, not the solution. A twenty-minute call is usually enough for me to say whether I'm the right person, and what I'd do first. No charge for that.
Seventeen years, mostly at the data layer
I started as an Oracle developer and DBA in 2009, and spent the first decade doing the unglamorous work — tuning queries that had been slow for years, recovering databases at two in the morning, migrating systems that nobody had documented.
Somewhere in there I discovered I was better at explaining it than most people were, and training took over. I've since delivered for Oracle University, AWS reStart, and engineering teams at IBM, Wipro, Accenture, Capgemini, Cognizant and Deutsche Bank, in India and across a dozen other countries.
Today the work splits three ways: consulting on databases and cloud, training engineers and university students, and research into how AI can actually be used to teach — which is where I intend to spend the next stage of my career.
Certifications
- AWS Certified Solutions Architect — Associate
- Oracle Cloud Infrastructure Foundations 2020 — Associate
- Oracle Certified Professional — Database 11g Administrator
- Oracle Certified Professional — Advanced PL/SQL
- Oracle Certified Professional — Developer Track (9i, 10g, 11g)
Education
- 2009
- B.E. Computer Science & Engineering, RGPV Bhopal
- 2026
- M.E. Computer Science & Engineering, RGPV Bhopal
- 2026
- M.Sc. Mathematics, Manipal University (in progress)
- 2028
- Ph.D. — target intake
Where I've worked
Seventeen years only counts if the last year is in it
The stack I teach keeps moving, so I keep showing up where it moves — cloud-native conferences, new Oracle releases the month they land, and the AI tooling that is rewriting how all of this gets built. What I teach on Monday is what I was reading about on Sunday.
What I'm working on academically
I'm working towards a Ph.D. with a target intake of Fall 2028. The research question I keep returning to is whether a language model can genuinely teach — and how you'd measure it if it could.
Primary interests
- RAG-based tutoring systems — retrieval-augmented models as subject tutors, and where the retrieval layer fails students
- Learning analytics — measuring what a learner has actually understood, not what they clicked
- Evaluation of AI tutors — designing benchmarks that reflect learning outcomes rather than answer similarity
- Query optimisation — carried over from seventeen years of tuning work
Teaching & supervision interests
- Database systems — Oracle, SQL, PL/SQL, PostgreSQL, MongoDB
- Data structures and algorithms
- Operating systems — Unix and Linux
- Cloud computing — AWS and Oracle Cloud
- Data warehousing and business intelligence
- Artificial intelligence and machine learning
- Software engineering and project management
Let's talk
Fill this in and it becomes a clear message you can send to me in one tap — by WhatsApp or by email, whichever you prefer. Nothing is stored on this page.
opp. Nath Mandir Road, South Tukoganj,
Indore, Madhya Pradesh 452001
Pushpjeet IT Consultant — India
Response time
WhatsApp is fastest — usually the same day. Email within two working days. For consulting enquiries, say what system and what symptom and I can be useful in the first reply.