SU M MAR YSK IL LSE D U CAT IO NPR O FE SSIO NAL E X PE R IE N CEAcco m pli s h ed  d ata  p ro fe ssio n al w it h  m ore  t h an  2 .5  y e ars  o f e xp erie n ce  i n  I T .  P ro fic ie n t i n  S Q L,  P LSQ L,  E T L,
P yth on ,  a n d d ata  w are h ou sin g.  R eco gn iz e d  f o r d esig n in g s c ala b le  d ata  p ip eli n es a n d d em on str a tin g
exc e p tio n al t r o u ble sh ootin g s k ills .  C om mit te d  t o  d eli v e rin g e ffic ie n t a n d a c cu ra te  d ata  p ro ce ssin g s o lu tio n s.
D ed ic ate d  t o  o n go in g l e arn in g a n d k e ep in g p ac e  w it h  e m erg in g t e ch n olo gie s.	
+ 9 1- 9 876 26 836 9	
n it is h kh an na3 6 2@ gm ail.c o m	
H .n o.  2 2,  G op al N ag ar,  M aji t h a R oad ,  A m rit s a r
N IT IS H  K H AN NA
Jr .  D eve lo p er
Hig h er s e co n dary  E ducatio n
20 16  &ndash;  2 0 17
P ro fic ie n t  in   SQ L  an d  PL/ SQ L  fo r
re la tio n al d ata b ase  m an ag em en t.
S kille d  in  d ata  w are h ou sin g te ch n iq u es,
in clu d in g E T L p ro ce sse s a n d d im en sio n al
m od eli n g,  to   effic ie n tly   man ag e  an d
an aly ze  l a rg e d ata se ts .
P osse ssin g  a  co m pre h en siv e
u n ders ta n din g o f  fr o n te n d a n d b ac k e n d
w eb   deve lo p m en t,  en co m passin g
pro fic ie n cy i n  H TM L,  C SS,  a n d
Ja va S crip t,  a lo n g w it h  a  d eep  f a m ili a rit y
w it h  th eir   a sso cia te d  fr a m ew ork s  a n d
li b ra rie s.
P ro fic ie n t  in   Pyth on   pro gra m min g,
d em on str a tin g a  s tr o n g c o m man d o f  it s
fu n ctio n ali t ie s a n d a p pli c atio n s.
S kille d  i n  c o m pre h en siv e ly
u n ders ta n din g  an d  effe ctiv e ly   ap ply in g
A W S  clo u d  co n ce p ts   an d p rin cip le s  to
p ro fe ssio n al e n deavo rs .
C ap ab le   of  sw if t ly   id en tif y in g  an d
re so lv in g t e ch n ic al  i s su es t h ro u gh  s tr o n g
tr o u ble sh ootin g s k ills .
E xe m pla ry  c o m mun ic atio n  s k ills  f o r
cli e n t  co lla b o ra tio n .  Str o n g  dis c ip li n e,
tim e  m an ag em en t,  an d  str a te g ic   ta sk
p rio rit iz a tio n .
E xp erie n ce d   in   cra ft in g  pro fe ssio n al-
g ra d e d ash bo ard s u tili z in g P ow er  B I  fo r
in sig h tfu l d ata  v is u ali z a tio n .
B ac h elo r&#039;s  i n  C om pute r S cie n ce  E ngin eerin g
20 17  &ndash;  2 0 21
E xp erie n ce d  in  w ork in g w it h  E le ctr o n ic  H ealt h  R eco rd  (E H R)
ap pli c atio n s,  s p ecif ic ally  W elli g en t,  a n d F o ste r C are  S o ft w are ,
in clu d in g B in ti.
S kille d  in  c ra ft in g re p orts  th ro u gh  th e u tili z a tio n  o f  P L/ SQ L
pro ce d ure s a n d f u n ctio n s.
S cre en   D eve lo p m en t  usin g  Pac k ag es,  Curs o rs ,  JS ,  Jq u ery ,
B oots tr a p ,  e tc .
B 2B   In te g ra tio n   (E LT )  usin g  Pyth on   an d  Ora c le   DBM S
Sch ed ule r(C hain s,  P ro gra m s,  J o b)
Skille d   in   bu ild in g  an d  m an ag in g  E T L  pip eli n es  w it h   SSIS ,
en su rin g s m ooth  d ata  t r a n sfe rs  t h at m eet s ta k e h old ers &#039;  n eed s
effe ctiv e ly .
E xp erie n ce d  in  tr o u ble sh ootin g P L/ SQ L p ac k ag es to  a d dre ss
p ro vid er c h alle n ges a n d o p tim iz e  w ork flo w  p ro ce sse s,  t h ere b y
en su rin g s m ooth  o p era tio n s a n d e n han ce d  s e rv ic e  d eli v e ry .	 	
Im ple m en te d  a u to m atio n  a n d s y ste m  e n han ce m en ts  t h ro u gh
th e d eve lo p m en t o f a  v a rie ty  o f p ac k ag es,  t r ig gers ,  p ro ce d ure s,
a n d f u n ctio n s,  r e su lt in g i n  i m pro ve d  o p era tio n al e ffic ie n cy a n d
str e am li n ed  p ro ce sse s.
S tr a te g ic ally   le ve ra g ed   va rio u s  PL/ SQ L  m eth od olo gie s  to
fu lf ill  sta k e h old ers &#039;  te ch n ic al  re q u ir e m en ts ,  en su rin g
ali g n m en t w it h  o rg an iz a tio n al o bje ctiv e s
P la y e d  a  k e y r o le  i n  a  D ata  W are h ou sin g p ro je ct,  i m ple m en tin g
co m pre h en siv e  t r a n sfo rm atio n s t h at s ig n if ic an tly  i m pro ve d
p ro je ct o u tc o m es.
A ssis te d  i n  t r o u ble sh ootin g h ard w are  a n d s o ft w are  i s s u es f o r
en d-u se rs ,  e n su rin g m in im al d ow ntim e a n d o p tim al s y ste m
fu n ctio n ali t y .
P artic ip ate d  i n  s y ste m  m ain te n an ce  t a sk s,  i n clu d in g s o ft w are
u pd ate s,  p atc h es,  a n d s y ste m  b ac k u ps,  t o  u ph old  s e cu rit y  a n d
perfo rm an ce  s ta n dard s	 	
E ngag ed  i n  c ro ss- fu n ctio n al p ro je cts  t o  g ain  e xp osu re  t o  v a rio u s
IT  d is c ip li n es,  s u ch  a s n etw ork in g,  c yb ers e cu rit y ,  a n d d ata b ase
m an ag em en t.	 	
C on tr ib u te d  t o  d ocu m en ta tio n  e ffo rts  b y c re atin g u se r m an uals ,
tr o u ble sh ootin g g u id es,  a n d k n ow le d ge b ase  a rtic le s t o  f a c ili t a te
u se r s u pport a n d t r a in in g.
A m rit s a r G ro u p o f C olle g esS h ri R am  A ash ra m  P ubli c  S ch oolT aj  Sw arn a  (I n te rn   IT   Execu tiv e)
12 / 20 18  -  0 2/ 20 19
A lc o r S olu tio n s I n c.
2 0 21 -  P re se n t