Hey everyone, does anyone have a clean CSV of NIFTY 50 (Spot/Fut) historical candle data for the last 3 years? 📊
I need 1-hour or 3-hour candles with standard OHLC data to run a local backtest for a weekly %-buffer strangle strategy.
Since I'm only tracking index boundary breaches, I don't need options premiums—just the underlying Nifty price movement.
If you have a recent API data dump handy, please share the CSV file.
Hey everyone,
I'm currently working in an operations role (non-tech, L3 equivalent) at Amazon India. My daily work involves running ETL jobs, writing SQL queries on datasets , building reports, and working with data warehouses (Redshift/Oracle).
I'm now actively upskilling to move into a Data Engineer role (L4/entry-mid level). Here's where I stand:
**Current skills:**
- SQL (intermediate — window functions, CTEs, joins on large datasets)
- ETL experience (extract → transform → load pipelines in production)
- Excel (advanced — pivot tables, VLOOKUP, macros)
- Python (learning fundamentals)
- AWS (currently pursuing AWS Certified Data Engineer - Associate)
**What I'm learning:**
- AWS services (Glue, Lake Formation, Redshift, S3, Athena, Kinesis)
- Python for data engineering
**My question:**
For those who've made a similar transition from ops/non-tech to DE — is this realistic within 3-6 months?
Would hiring managers consider someone with hands-on ETL/SQL experience but no CS degree or formal DE title?
Any tips on what to highlight or what gaps to fill?
Appreciate any honest feedback. Not looking for sugar-coating.
Hey everyone,
I'm currently working in an operations role (non-tech, L3 equivalent) at Amazon India. My daily work involves running ETL jobs, writing SQL queries on datasets , building reports, and working with data warehouses (Redshift/Oracle).
I'm now actively upskilling to move into a Data Engineer role (L4/entry-mid level). Here's where I stand:
**Current skills:**
- SQL (intermediate — window functions, CTEs, joins on large datasets)
- ETL experience (extract → transform → load pipelines in production)
- Excel (advanced — pivot tables, VLOOKUP, macros)
- Python (learning fundamentals)
- AWS (currently pursuing AWS Certified Data Engineer - Associate)
**What I'm learning:**
- AWS services (Glue, Lake Formation, Redshift, S3, Athena, Kinesis)
- Python for data engineering
**My question:**
For those who've made a similar transition from ops/non-tech to DE — is this realistic within 3-6 months?
Would hiring managers consider someone with hands-on ETL/SQL experience but no CS degree or formal DE title?
Any tips on what to highlight or what gaps to fill?
Appreciate any honest feedback. Not looking for sugar-coating.